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13 Healthcare Technology Trends to Watch in 2023

13 Healthcare Technology Trends to Watch in 2023 | Healthcare and Technology news |

So top healthcare digital transformation trends in 2023 are as follows:


  1. Internet of Medical Things (IoMT)
  2. Cybersecurity and Data Privacy
  3. Remote Patient Monitoring (RPM)
  4. Improved Big Data & Analytics
  5. Cloud Migration
  6. Robotic Process Automation (RPA)
  7. Cognitive Automation (CA)
  8. FinTech Integration
  9. Interoperability and Connectivity
  10. Telehealth
  11. Data Breach Prevention
  12. Network Strategies
  13. Tailored Patient Experience

1. Internet of Medical Things (IoMT)

According to Precedence Research, the global internet of things (IoT) in healthcare market size was valued at $180.5 billion in 2021 and it is expected to reach around $960.2 billion by 2030 with a compound annual growth rate (CAGR) of 20.41% during the forecast period 2022 to 2030.

Wearables and trackers are a huge part of healthcare information technology development. Their key benefit is providing real-time and detailed data on the patients’ health states, which is precious for doctors’ observation.

2. Cybersecurity and Data Privacy

Data security is still a key industrial concern, and cybersecurity will appear relevant among trends in the health information technology industry for a long time. All future technological enhancements will stick to the requirement to possess a significant security layer. The ultimate goal is to protect sensitive patient data delivered online.

At the end of 2021, the number of weekly attacks on healthcare reached an average of 626 per organization and is constantly growing. The US Federal Bureau of Investigation stated that over 40 million patients’ healthcare records were compromised in 2021, as half of the internet-connected hospital devices are vulnerable to cyberattacks.

3. Remote Patient Monitoring (RPM)

Of the latest trends in the healthcare industry, RPM occupies a special place. COVID-19 also contributed to turning remote patient monitoring into the current tendency in the medical field. The rise of virtual healthcare takes many forms, including online appointments, remote care, and video conferencing. And the wide range of IoMT devices empowers RPM with even more opportunities.

According to Research and Markets, the global RPM systems market is projected to be worth over $175.2 billion by 2027, compared to $53.6 billion in 2022.

4. Improved Big Data & Analytics

According to Frost & Sullivan’s forecast, introducing AI technology in healthcare data analytics can save the industry at least $150 million by 2025. Such an achievement is possible thanks to real-time and long-distance analysis and measurement of patient data. Given such striking cost-effectiveness, the AI trend will hit its stride in the next few years.

For medical providers and researchers, the COVID-19 pandemic spotlighted data analytics, along with the immense challenge of real-time decision-making under rapidly changing conditions. Healthcare providers can get lost in dozens of spreadsheets and meetings if processed manually. That’s why the digital future inevitably includes technology capable of processing Big Data instead of humans and providing real-time analytics for decision-makers.

5. Cloud Migration

Cloud migration in healthcare is now in full swing and will see significant growth in the future. MarketsandMarkets states that the global healthcare cloud computing market is projected to reach $89.4 billion by 2027, from an estimated $39.4 billion in 2022 at a CAGR of 17.8% during the forecast period.

It solves many major challenges in service delivery, including record management, remote care, and reaching low-income patients. Providers worldwide use the cloud to efficiently manage emails and electronic medical records (EMRs) and make real-time data available to healthcare professionals.

6. Robotic Process Automation (RPA)

The World Healthcare Organization (WHO) predicted that the global healthcare worker shortage could reach 12.9 million professionals by 2035, making in-person medical appointments a luxury few patients can afford. And the COVID-19 pandemic has only aggravated things. Wide-scale adoption of robotic process automation (RPA) solutions in healthcare may cure medical system inefficiencies.

RPA-empowered bots are a significant milestone in healthcare information technology development. Health providers can experience accurate automation, cost reduction, staff optimization, and even introduce transformational changes with the know-how. On the patient side, AI algorithms can guide people to the needed doctor by scanning their symptoms more accurately than traditional search engines.

7. Cognitive Automation (CA)

Among the emerging healthcare technology trends, it is worth highlighting CA. Cognitive Automation is the next-level tendency for true digital transformation. These days, it’s among emerging IT market trends in healthcare, but the tech package and applicability are about to change the state of managing an industry to the core. It takes the achievements of RPA but applies the mimicking of human behavior beyond the repetitive tasks. In short, it serves as the digital brain of the healthcare organization.

In essence, CA takes the automation capabilities of current software providers and applies ML algorithms to introduce decision velocity in the industry. It becomes possible to process zettabytes of data within seconds and provide decision-makers with ready-to-accept recommendations backed up by real-time data. The ultimate goal is to establish a self-driving enterprise where all the operational processes are automated.

8. FinTech Integration

Healthcare spending is likely to reach $6 trillion by 2027. Until recently, the healthcare system tended to be an old-school bureaucratic system. But now, many hospitals and medical institutions have turned to the tech industry to improve their filing and billing processes, and tech has begun delivering.

The financial technology covers insurance, management services, digital payments, settlement services, capital-raising, deposits, and credit services. Thus it facilitates and streamlines healthcare processes by lowering the cost of financial services. Through robotic investment advice, P2P lending, mobile payments, artificial intelligence, machine learning, and blockchain technologies, fintech boosts the healthcare sector by mitigating inefficiencies in its payment plans.

9. Interoperability and Connectivity

It is another healthcare tech trend that popped up during the global pandemic due to the lack of data interoperability. It has slowed caregivers down for years and impacted their ability to provide the best possible care.

The interoperability and connectivity of medical devices are widely recognized as important factors in helping hospitals achieve better patient data flow, synchronization, quicker and more accurate identification of high-risk patients, and improving the overall outcome.

10. Telehealth

Throughout the COVID-19 pandemic, telemedicine has seen the wildest growth and has become one of the hottest trends in the healthcare industry. 82% of customers experienced telemedicine for the first time since the start of COVID-19.

According to Precedence Research, the telemedicine market is poised to grow from about $60.8 billion in 2022 to $225 billion in 2030. It has become an integral part of the whole healthcare industry.

11. Data Breach Prevention

Over the years, the data breach issue has become more critical. According to the HIPAA Journal, today, the number of healthcare data breaches exceeds two times daily, which was a concern only once a day in 2017.

12. Network Strategies

The healthcare digital transformation market is growing at over 14% annually. In conditions where doctors actively use telemedicine and patients track their progress through wearables and mHealth apps, a network strategy is necessary.

Therefore, the implementation of network solutions for effective communication and data exchange between doctors, patients, and healthcare organizations is another trend in the medical field.

13. Tailored Patient Experience

Another prominent trend in healthcare is the provision of a tailored patient experience. It’s especially noticeable considering the global precision medicine market growth, which will reach $146.6 billion by 2028, in contrast to $65.9 billion in 2021.

In the coming years, implementing any new technology in the medical field will be carried out by putting the patient at the center of this process. Studying the specifics of each patient’s condition will help draw up more effective treatment plans and get better treatment outcomes.

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How tech can tackle healthcare workloads and staff shortages

How tech can tackle healthcare workloads and staff shortages | Healthcare and Technology news |

Everywhere I turn I see and hear two things: firstly, doctors and nurses are under increasing pressure to do more with less and secondly, healthcare is facing serious staff shortages. If these two points are not urgently addressed, it’s going to further affect the delivery of care as we know it and even impact entire communities. As the new CEO of Philips – a health technology company – I want to highlight some of the factors contributing to increasing workloads and staff shortages. Then I want to show how the adoption of innovative digital technologies can help address these issues and improve care for all.

First, let’s look at what’s contributing to the increasing workload for care providers and staff shortages. There are several issues at play. COVID-19 is the obvious one. Over the last few years, responding to the pandemic has increased workloads and put immense pressure on doctors and nurses, partly because it has created huge patient backlogs, testing the limits of healthcare systems worldwide.


As we continue to emerge from the pandemic, many of the doctors and nurses I talk to say they are increasingly overwhelmed for many reasons. They share concerns about the rise in patient numbers, caused by backlogs and also by ageing populations and the rise in chronic diseases. They also share stories about the increasing complexity in healthcare, shrinking budgets and rising costs, plus the time-consuming administrative work they must contend with and how it reduces the time they have to provide patients with the best care. Each one of these issues compounds the others.

For some, the burden has become too great. Globally, we see reports that some doctors and nurses are either leaving or considering leaving healthcare. This contributes to a rise in the number of vacancies and workforce shortages, as seen in 2022 by the NHS in England, which reported more than 110,000 unfilled job posts, and in the United States, where it was reported at one stage that 8% of all jobs in healthcare were open at a time when there were 400,000 fewer healthcare workers compared to before the pandemic.


It’s the same story in many countries, including the Netherlands, which is short, by some reports, of about 80,000 care workers. And the shortage is set to continue. The World Health Organization predicts that the global healthcare workforce will be short of around 10 million people in 2030. It’s no wonder that staff satisfaction and retention are top priorities for healthcare leaders, as noted in the Philips Future Health Index 2022 report.

Since taking on the CEO role, I’ve talked with many healthcare professionals to better understand the challenges they face, as well as the challenges facing the health systems they work in. These problems must be confronted from a range of angles, by, for example, looking at ways to better nurture staff and improve their experience.

Adopting digital technologies is one part of the solution and it's something I want to raise awareness about, in and outside of healthcare circles. Just as new technologies have improved many other parts of our lives and provided solutions to difficult problems, they offer a world of possibilities in healthcare, which remain largely untapped. Ultimately, the widespread adoption of digital technologies can help give people everywhere greater access to better, more sustainable and more convenient care and improve the patient and staff experience. But I’m also conscious that this must be done in a way that works within the existing infrastructure and is supported by the healthcare professionals using these technologies. Let me give you some examples:

Caring for patients in the hospital and at home

At Philips, we like to say that the smart hospital of the future is one without walls. Virtual care, for instance, already enables care to move beyond the hospital. The pandemic drove this shift out of the necessity of patients to be able to access care during COVID-19 lockdowns. Perhaps you accessed virtual care during the height of the pandemic and continue to do so. The greater adoption of virtual care can continue to extend specialist care outside of the hospital and even into the home. It can also be more convenient for many patients, such as those with chronic diseases, and it reduces the burden on busy hospitals and healthcare professionals.

These are just a few examples of how digital technologies can help address increasing workloads for doctors and nurses and staff shortages. It comes down to the interplay of technologies and how they connect and communicate with each other, integrate within existing infrastructures and help care providers. As technologies develop, we must continue to rethink the delivery of healthcare and help health systems become more agile, supported by technology, so they can continue to adapt and address challenges.

The goal must be to always deliver people-centred care, so patients get the care they need, when they need it, despite any challenges that may arise. This means engaging and empowering doctors and nurses and giving them access to intuitive technologies that reduce workload pressures and truly help them to deliver the best possible care. To achieve this, both patients and healthcare professionals must remain at the heart of healthcare.

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How Patient Care Is Being Improved by Technology Everyday

How Patient Care Is Being Improved by Technology Everyday | Healthcare and Technology news |

With technology becoming more integral to patient care in recent years, innovation in the medtech space is progressing at an unprecedented level. From streamlining long-held manual processes to creating entirely new diagnostic devices, new tech is cropping up all over the industry—resulting in a real-world impact on patients’ quality of life.


These technologies are helping companies to enable faster and more efficient engagement with patients, improve traditional devices, incorporate more software solutions into patient care, and even launch wholly new products. Further, these modern tools help medtech companies keep up with the rapid pace of innovation, by launching new products faster and quickly extending to new markets.

As hospitals face consolidation and CIOs are asked to increase staff productivity, tech companies that can support automation with solutions that are easy to onboard are getting heightened interest.


Streamlining quality processes for the better


In medtech especially, quality is the name of the game. The speed at which companies can address post-market or field issues is vital to success. After all, if a product meant to improve patient care isn’t performing the way it’s intended to, there could be tangible life-saving implications.

The secret to speedy post-market action is automating and integrating what was once a manual and disparate case-to-complaint and reportability process, by using a single enterprise platform.

For instance, imagine a company that wants to decrease their issue-to-resolution times. Their cases can be automatically tied to complaints and propagate common data, enabling faster investigations, reportability determination and electronic submissions.


The Covid-19 pandemic has forced life sciences companies to take a fresh look at how they do business. But as they reinvent their operations, companies often overlook a critical function: Their learning and development programs.


Also, their enterprise technology enables them to capture nonconformances with batch details which can quickly trigger ship holds, dispositions, and field actions.

And many of these major innovations trickle downstream to corrective and preventive actions (CAPA), Engineering Change Orders (ECOs), and business processes.

Having the ability to close the quality loop throughout the entire enterprise value chain can not only revolutionize a necessary process, it can deliver better patient experiences and outcomes.


Improving traditional therapies 


While headlines about new strains of Covid-19 and Monkeypox continue to circulate, the most common chronic diseases continue to grow at alarming rates.

Technology is helping to both manage difficult symptoms of these diseases, and find proactive ways to prevent them before the onset.

Advances in technology are giving patients their independence back. Think of how much easier a diabetes patient’s day-to-day life would be by conducting therapies in their own home instead of adjusting their scheduling around trips to the hospital for recurring appointments. Not to mention the lowered cost.

Imagine a world where therapies for type 2 diabetes (T2D) have the potential to prevent or even reverse its course. In the U.S. alone approximately 30 million people are diagnosed with T2D and half of them have difficulty controlling it.


Leveraging software as a medical device (SaMD)


Smart technology is virtually inescapable today. We use software devices in many aspects of our lives—in our homes, in our cars, in our pockets. And our medical needs are no exception.

Software as a Medical Device (SaMD) is one of the fastest growing areas of medtech innovation, enabling tangible life-saving results from:

  • Remote patient monitoring Faster, more accurate disease diagnosis and treatment decisions, such as stroke and pulmonary issues
  • Streamlined workflows & coordination for care teams
  • Digital Therapeutics and Digital Companions

…and the list is increasing exponentially. SaMD has changed how patients manage their health and interact with healthcare professionals.


Ushering in the future of care


The pace of medtech innovation is accelerating so much it almost feels as if we’ve stepped into the future. There are groundbreaking companies focused on eradicating certain cancers that are offering comprehensive genomic profiling (CGP) which provides results from a simple blood draw in days. This allows oncologists to obtain information quicker and advise the right treatment to each of their cancer patients.

This is just one example of how patients at all stages of cancer can live longer and healthier through the power of blood tests and the data they unlock.


The secret weapon 


The secret weapon is the ability to connect all business processes on a single platform solution. Keeping pace with top innovators requires a modern system to manage integrated change processes and cross-functional collaboration across the entire product and software lifecycle.

The critical and complex products that patients rely upon demand responsibility to ensure the best availability, quality, outcomes and uptime.

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Blockchain Technology May Transform The Future Of Healthcare

Blockchain technology has truly revolutionized the vision for the future of information and data. At the most fundamental level, blockchain technology enables decentralization of data; that is, it allows for the control of information to move away from a centralized entity (e.g. an individual or organization) to a distributed network. By utilizing a distributed network to control information, society can establish better transparency, trust, and fidelity in that data.


In an early whitepaper released by the University of California Berkeley’s Sutardja Center for Entrepreneurship & Technology, the authors explain that “blockchain is essentially a distributed database of records or public ledger of all transactions or digital events that have been executed and shared among participating parties. Each transaction in the public ledger is verified by consensus of a majority of the participants in the system. And, once entered, information can never be erased.” The most popular utilization of blockchain thus far has been the famed cryptocurrency Bitcoin, which is a decentralized version of digital currency.


Proponents of the technology postulate that blockchain will revolutionize the world across all industries, making data and information exchange easier, more trustworthy, and secure. Though some sectors are attempting to become early adopters of this technology, others are cautious in how exactly it can be utilized, and are treading carefully.


In a presentation late last year, the United States Department of Health and Human Services (HHS) discussed the potential for blockchain in healthcare. The paper presented multiple potential case examples for its use, ranging from supply chain transparency and securing access to medical records, to streamlining communication with insurance companies, and even better enabling remote patient monitoring capabilities.


Especially with regards to healthcare data, blockchain enthusiasts believe that the technology can provide increased security and fidelity when compared to existing solutions. An article published by the World Economic Forum explains: “Blockchain-based solutions for health documentation offer secure encryption techniques that safeguard the integrity of individuals' information when communicating with different parties. Through tokenisation, smart contracts and the encryption techniques that are involved in blockchain network transactions, the process of pre-authorisation will be reduced massively, enabling patients to receive the necessary and informed care more efficiently. This is a result of the healthcare provider being able to access the relevant information quickly, when they would have previously been depending on the patient or on files physically mailed or emailed from disparate sources, such as local physicians, labs, etc.”


But others are wary. For one, blockchain is not well understood by the masses, creating skepticism and reluctance by many in applying the technology to something as critical as healthcare infrastructure. Furthermore, use cases for blockchain, though growing, are still limited. The basis for the technology itself is not brand new, however. In fact, as explained by the HHS presentation, the earliest forms of blockchain theory was presented in the 1980s, with iterations of the modern technology more definitively taking shape over the last two decades.


Needless to say, healthcare information and data is long overdue for innovation, especially in a world where cybersecurity threats and data fidelity is constantly at issue. Indeed, blockchain technology is likely here to stay; however, innovators, policy leaders, and technology enthusiasts will have to devise ways to apply this technology to healthcare in a safe, responsible, and patient-centric manner.

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Technological Breakthroughs Will Change The Future Of Healthcare

Technological Breakthroughs Will Change The Future Of Healthcare | Healthcare and Technology news |

With the help of a variety of cutting-edge technologies, such as telemedicine, electronic medical records, home-based care transitioning from hospital-based care, drone technology, genome sequencing, digital tools, and artificial intelligence (AI), the healthcare sector has been transforming drastically. Undoubtedly, the pandemic accelerated the acceptance and advancement of technology in healthcare. Patients can now obtain medical care more quickly and easily outside of the typical hospital setting, improving convenience and accessibility for everyone.

Furthermore, the exponential growth of the diagnostic sector has contributed to the growth of the overall healthcare industry in India. The current situation has been significantly changed by modern and high-end diagnostics, which have replaced the conventional ways of diagnosis with new age, digital-led infrastructures backed by AI and ML. It is now possible to reduce diagnostic errors and incidences of misdiagnosis and improve treatment accuracy with detailed and precise reports. Additionally, the innovations guarantee quick outcomes that benefit the healthcare sector.

Millions of people are being helped by health-tech entrepreneurs who are bringing the future into the present. Healthcare has undergone a significant paradigm shift as a result of the confluence of these various technologies, which exponentially increases the impact. Let's examine a few significant technological advancements that will influence the future of healthcare:


Care at home may deliver more value and higher-quality care


The biggest paradigm shift will be the transition from care that is predominantly provided in hospitals to care that is provided at home. Innovative tools like ultra-wideband radar technology, non-invasive sensors integrated into living environments to monitor everyday activities, and handheld gadgets that let doctors remotely monitor ECG, pulse oximetry, and IR skin temperature, among other things, will make this possible. In this situation, hospitals can serve as a command centre for tracking patient health as well as a primary location for operations.


Growing investment in the digital health market


The pandemic highlighted the need for real-time, error-free data as well as for a healthcare system that is technologically capable of doing so. In addition to helping with data collection, technology is crucial for data organisation and analysis. Digital tools can be used to maintain and track patients' health records in today's uncertain and chaotic health environment, as well as to generate important projections. If used wisely, artificial intelligence (AI), machine learning, robotic process automation (RPA), big data analytics, block chain technology, cloud computing, and quantum computing can completely alter the Indian healthcare system and elevate it to a global standard.

It can help in gaining helpful information for real-time decision-making without placing stress on the healthcare environment. It will be crucial to up-scale these technologies and create an ecosystem approach to maximise the social benefits of data.


Growth in virtual care


Electronic Medical Records have been a huge help in India as telehealth continues to expand quickly. EMRs have been helpful as they can be accessed whenever needed, which is important because the majority of patients seek a second opinion from a different specialist.

Telehealth is a revolutionary method of communication and access to care for people and medical professionals. Beyond episodic treatment, telehealth will continue to expand into the management of chronic illnesses and speciality care, including mental health services. Patients now have easier access to care that is more convenient. In this regard, a National Telehealth Mental Program was announced in the Union Budget 2022.

Additionally, with electronic medical records, all patient histories, test results, diagnoses, and pertinent data may be centrally stored in an online location. The data allows for more precise and targeted treatment, as well as the capacity to spot personal health patterns.


The Internet of Things (IoT)


Another significant area that is driving amazing developments is the Internet of Things (IoT), which brings together engineering and healthcare. The Internet of Things (IoT) has revolutionised the healthcare sector by intelligently connecting devices, systems and items used by billions of people around the world in order to use data more effectively and enable quicker, more focused, and more contextualised decisions.

The influence of IOTs on the healthcare industry is enormous. The healthcare sector is evolving globally to become a well-coordinated, user-centric, and more effective system. The advancing technology of the IoT is propelling revolutionary and life-improving solutions throughout the healthcare industry. IoT accelerates process automation, and the benefits are unlimited.


Harnessing the power of drone technology


The healthcare sector will benefit from faster sample collection, simpler access in remote areas, and the provision of healthcare in Tier2/Tier3/Tier4 towns by using unmanned aerial vehicles (UAVs) or drones.

By ensuring the timely and cost-effective conveyance of medical supplies and test samples, drones are helping to increase access to high-quality healthcare. Drones are helpful in overcoming connectivity issues because they can transfer items like life-saving drugs, emergency supplies, and prescriptions to remote areas like Tier2/Tier3/Tier4 cities and villages. Areas that were previously cut off by road and unreachable are now accessible, improving the country's transportation network and strengthening the healthcare scenario.

For instance, blood samples are delivered to a predetermined lab for analysis after being placed within a temperature-sensitive storage box attached to the drone. Drone sample delivery allows medical professionals to quickly obtain the lab tests needed for diagnoses and treatments. The drone technology helps save time and overcome traffic delays.


Genome sequencing


The accessibility of cutting-edge genome sequencing technologies like NovaSeq 6000 will be particularly beneficial because the government has not yet implemented a widespread screening programme for genetic disorders or rare diseases. The NovaSeq 6000 technology provides high throughput speed and flexibility for research that requires the fast and economical processing of enormous amounts of data.

Geographical regions of the nation, particularly North India, are known to have high rates of inter-family marriages and genetic problems, which raise the risk of rare diseases in the foetus. Now that the system is available, patients in nearby states and regions will benefit from shorter testing times and cost savings.

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A closer look at the tech needed for new care-at-home and aging-in-place models

A closer look at the tech needed for new care-at-home and aging-in-place models | Healthcare and Technology news |

As people age, the subject of caring for loved ones enters the conversation. Most find this discussion escalating while events are already in motion.

There was no easy mechanism for care teams from different providers to share information that could help patients age in place, so he set out to create one. Now he is CEO of Dina, which makes an AI-powered platform for care-at-home models.

Seven out of 10 people require assisted living care in their lifetimes. Studies show that most elderly people would prefer to stay at home and age rather than be moved to an assisted living facility.


Healthcare IT News sat down with to discuss health IT's role in aging in place.

  1. Please describe the experience you had with caring for your aging father, and what you learned about information not being shared in a meaningful way.
  2. Anyone who has cared for an aging parent knows it can be a challenging experience. Shortly after my previous company, Medicity, was acquired by Aetna, my father suddenly passed away. Unfortunately, this is something that you hear a lot in healthcare ventures – there's often a personal connection.


In my case, I'm trying to solve a problem that our family experienced. My dad was a senior citizen. He was being seen by in-home caregivers and in and out of senior centers.

After he passed unexpectedly, we spent time with those folks who saw a meaningful decline coming, and yet that information wasn't being shared with the formal healthcare team, definitely not his insurance company, and not with his family in a way that we could intervene to try to change his care trajectory. They were an untapped resource with a critical and objective perspective.

At Medicity, we were serving 1,300 hospitals, facilitating lots of data exchange across hospitals, primary care and labs, but nothing we were doing was ever going to touch the home and community. And as I dug into it more and more, I found that my story, unfortunately, is not unique. It's going to be one that grows in nature.

So, both out of professional and personal need, we looked for an opportunity to organize the home and community-based care ecosystem and make it easier for health systems, ACOs and health plans to extend their reach and visibility into the home, in an effort to help people maximize their healthy days at home. We launched Dina in 2015, and we've been very focused and committed to bringing the vision to life.

As an industry, we have two problems to solve. One is when you are a really engaged family caregiver. How do we make life easier for that person? The second is, how do we give less-engaged family members the visibility into what's happening with a loved one?

For us at Dina, that means how do we activate and coordinate the very best in-home care, and how do we unlock visibility into how that care is progressing to the people who are typically not part of that process, such as insurance companies, physicians, health systems, etc.

  1. What are some of the reasons it is important for care teams from different providers to share information when it comes to trying to help patients age in place?
  2. Healthcare is hard. But if you look at a hospital, it's the place with the best resources for clinical care in our country, for example, the staff, providers, equipment and technology.


Now if you think about that model being unbundled, and you're now delivering care at home and in the community, in order to match that experience and make it a smart one you have to have great visibility and the ability to track everything. How do you understand what's happening now?

Coming out of COVID, it's also become clear that people want to have control of their overall healthcare experience, and a lot of that centers in and around their homes. And, unfortunately, when people end up in a hospital, returning home is often easier said than done.

Most home-based providers and family caregivers lack the technology to share how the patient is progressing with the extended care team. In addition, there is a growing number of people with chronic conditions who don't need episodic care, but need to stay connected to their providers to manage their health at home.

In a hospital, you hit the nurse call button if you're not feeling well or something isn't right. You have to replicate that remotely and share the information among caregivers.

Lastly, all the people who typically interact with a patient bedside have to be empowered to share information dynamically to coordinate care. Care happens because all those resources are there. What does it mean to match those resources in your home?

All those care team members won't be at your home at the same time. They'll come at different points and in different shifts, so sharing that information becomes critical.

  1. What kinds of healthcare information technology can help this situation?
  2. There have been great advancements in virtual care, remote patient monitoring and patient engagement. But the type of technology that will need the most investment now is that which brings it all together – for example, the right sort of infrastructure for the coordinators, be they at the hospital or in an insurance company, to be able to monitor what is happening outside of the hospital and activate physical and virtual services.


That care might include personal care, companion care, house calls, meal delivery, home modification or durable medical equipment. It's a very broad and fragmented market. So, the technology to bring it all together with a single push of a button is crucial.

Moving forward, care is going to be delivered in three ways: in high-quality facilities, online with telehealth capabilities and in your living room. I believe that in the next five to 10 years, every home will need to be configured to operate as a formalized care setting (for example, primary care clinic or hospital), and providers – especially those who are part of value-based contracts – need to be ready to deliver care in this setting.

There's no one-size-fits-all solution for establishing care-at-home models. It takes alignment with payers and hospital finance and contracting teams, and you need to understand your target patient populations.

During the past year, more people opened their doors to healthcare at home, and these models are here to stay. We've seen that when the home is the focal point, care is more affordable, more convenient – and a more comfortable experience.

  1. What role do remote patient monitoring and engagement technologies play?
  2. Remote patient monitoring tools act as an early warning system and create visibility between care visits. They increase the touches or connection between the health system and the individual.


If you're a traditional healthcare provider organization or a health plan, setting up the infrastructure to activate, track and manage care outside of the traditional four walls of a hospital is critical. We refer to this as "care traffic control" to remotely monitor and engage patients – and generate home-based insights to help identify functional, behavioral and social determinants of health needs.

While most providers do perform some level of tracking, monitoring and trending, one-way visibility is not enough. For example, text-based patient check-ins can be used to get feedback in real time and manage by exception, thus helping people stay home safely.

This helps drive down unnecessary hospital and ER visits. For seniors, it can slow the progression to long-term nursing home care. That is something that we're going to need to do more of, especially as 10,000 people turn 65 years old every day.

Healthcare organizations across the country are struggling with staff shortages and burnout. To navigate the shift to home-based care, they need to find ways to extend their reach into the home without further overburdening staff. Technology is one way to overcome that challenge.

  1. What experiences have you and your company had with remote patient monitoring when it comes to aging in place?
  2. Studies show that mostpeople feel safer receiving care in the confines of their own home and report greater satisfaction with the care they receive when they are in familiar and comfortable surroundings.


Right now, we don't have enough nurses, doctors and home health workers, so technology has to foster greater efficiencies and interactions.

By activating remote patient engagement tools, we can connect different points of care and different providers of care, and align them with the same goals, all while keeping the patient at the center. And this has positively influenced outcomes and kept more patients safe and well cared for in their homes.

It's not just passively collecting data, but remotely engaging in just-in-time conversations with someone – for example, asking how they're feeling, how their diabetes is progressing, or whatever the case may be.

They're not being directed to visit a portal, but rather engage in a dynamic conversation. And through those conversations we can determine if they need to be escalated to the appropriate care team member who can determine next steps.

Dina's technology uses triggers from predictive modeling and patients to help determine in real time who may need intervention or support with social determinant issues. Care teams are critical to guide and intervene when signals indicate that an escalation is needed. Using technology to "manage by exception" ensures no one falls through the cracks.

It's maintaining a connection and pulling back these insights around social, behavioral and functional health, and then acting on them in real time. I think it's a progressive model of care, and we're passionate about helping more people access care on their terms, in their homes, and maximize their healthy days at home.

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Optimizing the Healthcare Workforce with Technology

Optimizing the Healthcare Workforce with Technology | Healthcare and Technology news |

There are a lot of challenges that healthcare workers are currently facing, burnout from overworking being one of the most pressing. But that doesn’t have to be the case. Through utilizing the technology that we currently have available, many areas of work healthcare professionals are doing can be automated and simplified. Carefully integrating various technological solutions into your organization can lift some of the burden your workers are experiencing. Thus reducing burnout and increasing the level of care your patients are receiving.

We reached out to the Healthcare IT Today community to get their thoughts on using technology to optimize the healthcare workforce. Take a look at the insights they had to share.


Integrated texting technology with real-time team awareness that also allows automated workflows can take the place of an actual person. From the care team perspective, being able to respond to patients and each other in real-time, from mobile phones, is efficient and liberating. Visibility to the full communication allows care teams to improve their processes, responsiveness and that brings up the total quality of care they can provide with less effort.


Solutions such as remote patient monitoring (RPM) enable providers to remotely manage patient’s health conditions outside the hospital or doctor’s office, freeing up vital resources. By delivering clinical insights that help power more informed decision-making and earlier interventions, RPM improves patient outcomes while easing the load of the healthcare workforce. When combined with the power of artificial intelligence (AI), like a virtual health assistant, it can offer patients encouragement and reminders to take their readings or medication — often resulting in higher adherence, better outcomes, and healthier patients.


The industry is facing a historic workforce crisis. Turnover in healthcare is incredibly high and providers are dealing with the stress of reskilling and the inability to move forward with growth initiatives because they are focused on teaching basic skills. Members of care teams work tirelessly to coordinate transitions and care decisions, but they’re often doing so with out-of-date or incomplete information. Technology has made it possible for health systems to streamline these burdens that not only benefit the patient but also internal operations.


Many physicians and their teams are feeling burned-out. Fortunately, AI image interpretation and workflow optimization are helping teams manage a higher capacity of case volume by automating key tasks, making it easier to manage patient care from arrival to outcome. Workflow optimization tools give the clinical team visibility to the patient pathway in real time, and empower them to make data-driven decisions about how to best manage critical medical situations.


Let’s talk about the problem first. In most health systems today, traditional care coordination is broken, it’s labor intensive, expensive, mostly manual, and highly variable across care teams and sites of care. Meanwhile, clinicians and staff are overworked and suffering from burnout, costs are rising, they have a backlog of patients that need care, and they need to recapture lost revenue – all while there is a massive shortage of people to do the work.

The best way to solve for these challenges is to apply technology that leverages data and automation to reduce and eliminate the manual efforts currently done today by human beings. With technology, you can integrate data from EHRs and other data sources in real-time, apply clinical intelligence and automate the workflow, tasks, activities and events that most health systems try to achieve with people.

This dramatically improves productivity and operating efficiency, while eliminating variation in how care is delivered, while also enabling care coordination efforts to scale consistently across care teams and sites of care. At the same time, by leveraging data and automation to reduce and eliminate manual activities and interventions, clinicians and staff have a better experience and can spend their valuable time with those patients that need the human-touch most.


Technology that upskills staff around the physician so everyone can operate at the top of their license. AI-driven care navigation platforms enable staff (medical assistants, nurses) to find patients who are falling through the cracks. This deepens staff contribution to care and relieves the burden on physicians. And this can be done remotely, which helps ease the burden on hiring.


Tech is moving the needle for our overburdened healthcare workforce by eliminating the extra steps and hassle of managing extensive data sets. Provider organizations are adopting adaptive AI technologies that seamlessly integrate into the EHR to identify patients that still need care (be it additional medication for heart conditions or preventative screenings for cancer) to deliver actionable insights to providers, leaving clinicians more time to connect meaningfully with their patients.


The pandemic brought increased attention to the need for essential workers like those in healthcare including physicians, nurses, techs, and aides, but the years following have emphasized the need for IT systems to support the experience and well-being of those in essential roles.

Foundational health IT systems, like the EHR, are central to the onboarding and retention experience of practice operations and have become increasingly critical for supporting a talent-strained and burned-out workforce. The winners will be those who take their responsibility of providing a high-quality user experience as essential as the workers themselves.


Increasingly, health organizations are turning to care coordination and logistics technology to solve some of the complex challenges related to moving care from traditional acute settings and into homes and communities. For many, the investment in these types of tools can increase efficiencies and improve capacity of current staff.

The goal is to use technology to focus on the right patient signals at the right time, and not get distracted by unnecessary data points that don’t require action. Managing by exception, triggers from predictive modeling, and patient feedback all help to determine in real time who may need intervention and ensures no one falls through the cracks.


Many factors contributing to physician burnout revolve around unnecessary visits and administrative tasks that take up physicians’ valuable time. Digital front doors alleviate some of the administrative stress physicians face by automating processes and having patients log intake information at home. Automated pre-clinical triage can also help patients be more confident about the level of care they need and lead them to the right type of care, so that doctors only see patients who are truly in need of their assistance.


The key to managing a remote workforce today is you must have the ability to monitor and measure the effectiveness of the work effort of every staff member. This goes beyond simply monitoring productivity, you must ensure staff are working effectively and producing the desired outcome. The utilization of workflow automation solutions that measure effectiveness of work effort not only allows you to hire the best staff in any location, but you can begin to implement incentives for top performers to recognize the employees who are driving departmental success.


Technology allows patients to access relevant information in one convenient place. Empowering patients to self-serve lowers the stress on healthcare staff by reducing time spent answering common questions. The right digital technology also makes staff outreach more efficient and effective, allowing staff to engage more deeply with more members.

Often, patients visit doctor’s offices and emergency rooms unnecessarily because they don’t have access to comprehensive information about their health and wellness. Patients who have digital access to these key resources are more likely to understand when a visit to a physician, emergency room, or urgent care is necessary. Wellframe, a digital health management solution, helped reduce emergency room utilization by 9% and inpatient admissions by 17% among its users. Reducing unnecessary patient visits allows health plan staff and clinicians to avoid burnout, and use their time for high-value tasks.


Immediate results are being realized by health systems who have deployed technology-enabled solutions for expanding their access to labor markets, including tapping into marketplace economies previously invisible to many health systems. By combining predictive and prescriptive scheduling tools, health systems are able to recognize substantial labor savings through reduced agency contracts, lower use of overtime, and greater staff retention. These scheduling tools forecast demand with a high degree of accuracy weeks or months in advance and provide staff with flexibility in managing their shift selections.


Provider scheduling technology has the power to create equitable schedules that give providers a greater sense of autonomy. The loss of control many healthcare workers have experienced throughout the COVID pandemic due to chaotic, unpredictable schedules has been a major contributor to burnout. We’ve seen time and again with clients that better, fairer, and more transparent schedules lead to happier, more engaged providers who have more control over their work-life balance.


The public health data and technology landscape is evolving rapidly and demands an agile workforce that can efficiently adapt and integrate better IT solutions. The public health department of the future will require not only epidemiologists, but also health information technologists, data scientists, and cybersecurity experts focused on modernizing disease surveillance and using data to inform programs that improve population health. And with the tremendous modernization efforts underway, these teams will need upskilling in acquisition methods as they increasingly work with the private sector.

There are so many ways that technology can help out our healthcare professionals and in turn, our patients. Where do you see technology lifting some of the burden on healthcare workers?

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How to Use Digital Health Data to Improve Outcomes

How to Use Digital Health Data to Improve Outcomes | Healthcare and Technology news |

Figuring out how to develop systems to use a growing quantity and variety of digital information is perhaps the most important, and formidable, health care mission of our time. Since the 1990s, our organization, the National Committee for Quality Assurance (NCQA) has been using data to measure and improve health care quality, originally to accredit health plans and more recently to gauge the performance of providers. When the NCQA began, the challenge was to compile enough data and to make inferences to fill in the blanks where there wasn’t any good information. Now the challenge is the overwhelming amount of data that needs to be mined for its essentials. But NCQA’s mission remains the same: to put data to work to increase the effectiveness of the resources devoted to health care.

In this article we will outline the steps needed to close the loop that connects digital information to action.

Measuring Quality: Basic Principles

Health care quality measurement rests on three questions:

  • Are we doing the right things to manage health and health care?
  • Are we getting the outcomes we want?
  • If not, what do we need to change?

These questions almost never have easy answers. People are not widgets, and the outcome of a particular episode of care depends on multiple factors: the performance of clinicians, the attentiveness of caregivers, the patient’s initial state of health and motivation to get better, and the patient’s overall circumstances (income, environment, access to food or transportation, availability of help around the house). Outcomes include not only whether patients are now healthier but also how they felt about their care and how it compares with the same care rendered elsewhere or with different treatment approaches that might cost less and/or deliver a better outcome.

While measuring the quality of care is difficult, we do know that the current report card for the United States paints a mixed picture. Its best available care is often truly the best in the world. However, it is primarily famous in health care circles for paying the most (19.7% of GDP, twice as much as most peer nations) and getting poor value for its money. For example, the U.S. maternal mortality rate is an international disgrace: more than twice as high as Canada’s and four times that of Sweden (not to mention the gaping, and worsening, disparities by race). And the gap between average life expectancy in the United States and peer countries is widening.

This mixed and incomplete picture of the quality of care poses a significant problem for health care stakeholders. Health plans and employers need to know that they’re getting the value they are paying for. As payer contracts shift from rewarding more services to rewarding better outcomes, providers need to track their own performance. Quality should guide patients’ choices among providers and health plans, to the extent they have choices. Lawmakers and regulators need to understand the effectiveness of providers and medical services to help them allocate resources where they’ll have the most impact.

There are several reasons that the measurement of health care quality has been underdeveloped. One is that quality-based reimbursement still accounts for a minority of most providers’ revenue. Second, consumers have not demanded them. I nstead, they trust the recommendations of their doctor or friends and family who have been treated for the condition in question.

However, the primary reason for the limited state of quality measurement is its reliance on insurance claims as the foundation for measurement.

Claims Data: An Incomplete Foundation for Measuring Quality

For the three decades since the health care industry began a serious, data-driven effort to measure quality, it has relied heavily on analyzing insurance claims — the only large and relatively consistent digital data source across all providers. While claims data can provide some insights, data collected for one purpose — in this case, getting the provider paid — is often not well suited for other purposes.

For one thing, it’s often months old by the time it’s available for analysis. For another, it’s clinically incomplete. A claim shows whether something was done but not the effect it had. A list of completed tasks — blood sugar tests, eye exams, weight and blood pressure checks — shows that a diabetic patient received care but not whether her blood sugar is under control. Claims also won’t contain vital information on the patient’s full health picture — unless that information gets the provider more money. He or she can bill for a diagnosis that pays at a higher rate if the patient has a comorbidity: for example, treating a heart attack for a patient who also has diabetes. But linking the patient’s other claims together may be the only way to discover that she also has arthritis and reflux disease and eczema.

And finally, each claim is a partial snapshot of one service or episode of care delivered at a moment in time, and even a pile of snapshots is not the same as a movie. Improving health or worsening illness take place between the snapshots. By the time we take the picture, it’s too late to affect the course of events, and all we can do is look at the result and think about how to do better next time.

The Era of Digital Measures

Fortunately, we need no longer rely on claims data. The tide began to turn with the mass adoption of electronic health records, driven by federal government incentive payments that started in 2010. The Office of the National Coordinator for Health Information Technology, which oversaw this herculean effort, continues to initiate and promote ways to leverage EHR data.

More recently, that data has been joined by information streams from monitoring devices, fitness trackers and smartphones, patients’ own assessments of their health, genomic data, and readily accessible population-level data on social factors that profoundly affect health: employment status, income level, environmental quality, level of community support, and so on. Advanced analytics can potentially allow us to combine all of these data sources to start developing a clearer picture of health status and the effectiveness of care at all levels — from individuals to groups of patients with the same diagnosis to entire communities.

That’s the supply side. On the demand side, the Centers for Medicare & Medicaid Services (CMS), the single largest payer in U.S. health care, is actively advancing the use of digital data to measure the quality of care. Commercial payers, too, are seeking better ways to gauge value, since it’s difficult to do “value-based” contracts without reliable measurements. Our own organization is developing digital measures to track the performance of the health plans we accredit, which collectively insure more than half the U.S. population. Every organization with a stake in measuring health care quality is preparing for a new era.

Learning from Others

The United States can learn from other developed countries that are employing their digital data to improve health care and health. Denmark, for example, has patient registry data dating back to the 1960s as well as a single shared system of electronic health records for the whole country. Its national digital health strategy focuses on all the things that the United States wants: timely knowledge, partnership with patients, prevention, equity. Denmark has a more manageable task than the United States, with a compact geography and fewer than 6 million people, but it shows us what’s possible.

The European Union is pursuing similar goals: In May it introduced a proposal for the European Health Data Space, to set up a single digital health market for its 450 million people.

In turn, the efforts in the United States to advance digital measures are of interest and value to other countries that are grappling with similar challenges of health care costs, quality, and access.

A To-Do list for Digital Measures

We see at least four imperatives for getting the United States where it needs to be:

Reduce the cost of data collection and improve its timeliness.


This may sound like two objectives, but digital measures achieve both. Many traditional measures use data (such as insurance claims) that lags care delivery by up to a year, which in some areas can make them all but irrelevant. If we design them correctly, systems such as electronic health records and wearable devices can generate data as a byproduct of managing care not only more cheaply but also much faster. When data collection stops being a separate step from delivering care, we can go right to analysis and results.

Expand the range of usable data.


All the new sources we mentioned above — EHRs, wearable health monitors, patients’ feedback on their own health (known in the trade as Patient-Reported Outcome Measures, or PROMs) — can potentially be combined with data on the patient’s environment such as water and air quality, crime rates, green space, access to transportation, and the density of grocery stores or social services.

NCQA is examining how to account for patients’ social circumstances — homelessness, poverty, isolation, access to nutritious food or places to exercise — in assessing the quality of their care. A physician may recommend that a patient take a daily walk — a great idea for a patient who lives near a park but bad advice for one who lives in a high-crime area and is afraid to leave the house. More data on more patients will allow us to develop measures that more accurately reflect the care needs and best treatments for specific groups or even individual patients. We will be able to account for the differences in care needs depending on economic circumstances, patients’ ability to manage their own care, and the quality of their social supports.

Leverage the broad adoption of electronic health records, mobile devices, and artificial intelligence to provide real time feedback and guide care.


Electronic health records are evolving from being a record of the patient’s condition and the care they received to providing real-time support: alerts, reminders, computer-based guidelines for managing chronic disease, and logic that (tactfully) critiques a physician’s orders for tests and medication, comparing them against standard practice and checking for inconsistencies. Such an intelligent EHR would have reminded June and her doctor to schedule that follow-up colonoscopy when she turned 63.

As our systems for measuring care quality become more sophisticated, we will be better able to incorporate intelligence that is more personalized to the needs and desires of patients. A really intelligent EHR would notice that June likes to schedule her medical appointments on Tuesdays and would, with her approval, go ahead and schedule the procedure for the next available Tuesday.

Integrated health systems such as Salt Lake City-based Intermountain Healthcare or Pennsylvania’s Geisinger have developed digital tools to improve care for their patients, though both have the twin advantages of advanced IT capabilities and the financial incentive, as both provider and insurer, to focus on improving their patients’ health rather than simply on delivering more services. These organizations and others have leveraged their electronic health records to provide real time feedback to clinicians and patients. By expanding the range of data collected and reducing the cost to gather the data, the feedback that can be provided by these systems can be more tailored to the patient and hence lead to more effective care and health decisions

Establish a digital foundation for the ongoing production processes of gathering, analyzing, and reporting quality measures.


Developing digital measures is not a one-and-done venture but a continuous transformation. Creating this foundation involves the following:

Devising a process for standardizing the many measures now in use. This process has to be rigorous enough that there’s general agreement on, for example, what level of blood pressure constitutes hypertension or what range of test results show well-controlled diabetes, but at the same time flexible enough to accommodate a degree of adjustment based on the population or individual being measured. Currently payers, regulators, and professional societies all have slightly different approaches to designing measures. The variation creates more work for the providers being measured, but almost certainly isn’t delivering commensurate value.

Replacing the paper-based descriptions of quality measures and the data they need. These descriptions must be manually entered into electronic health records and reporting software, a process that is expensive and error prone. The remedy is to replace the paper with software-based descriptions that can be easily added to clinical systems.

Creating software tools that facilitate collaboration in developing, testing, and maintaining measures. Neither illnesses nor treatments are static, and each new one will require its own measures. Payers, regulators, providers, and patient groups must participate in this effort in order to accelerate the development and testing of new measures and arrive at a consensus on which ones to adopt.

Automating the extraction of data from electronic health records rather than using human data abstracters (still a common practice). This will reduce the cost associated with collecting clinical data and improve its accuracy. We already have a solid tool for doing this: the Fast Healthcare Interoperability Resources (FHIR) standard, which is a standardized API for exchanging information among systems. Starting next year, CMS will require providers to use FHIR-enabled systems.

Automating the process of auditing and cleaning data. Much of the data in EHRs and other clinical systems, though not all, is entered by humans, and is subject to errors, omissions, and inconsistent entry practices. Without excellent underlying data, digital measures will have no value.

Along with creating the infrastructure to use digital information, every health care stakeholder has its part to play:

  • The quality measurement community needs to intensify and expand its efforts to determine which new data elements are the most important for identifying best practices and explaining variations in outcomes.
  • Both hospitals and insurers harbor legacy computer systems that struggle to support the need to exchange data with other systems. They need some combination of upgrades, application of standards, or workarounds in order to serve the new needs of digital measurement.
  • Physicians and hospitals are still primarily paid on the basis of care volume rather than care quality, which reduces their motivation to reengineer their approach to care delivery. Both providers and payers must embrace data-driven payment models based on effectiveness and value.
  • Since employers and government pay for the vast majority of health care, they have a critical role to play in using their clout (e.g., contracts and their ability to move their provider and health plan business elsewhere) to demand that providers, health plans, and the quality measurement community accelerate the development and adoption of digital quality measures. In addition, employers and governments could use their talents to help the industry understand how they will use the measures to enhance their health-care-benefit offerings, and their staff should participate in forums that define health data standards and appropriate uses of data.
  • These insights need to be easily available to patients in a way they can interpret and evaluate as they make decision about their health and health care.

The Impact of Digital Measures

What would it mean to be able to harness this overwhelming mass of data to measure and manage the quality of our health care?

Providers could more accurately and effectively assess and improve their performance. They would catch the patients due for screenings, manage the patients whose chronic illnesses land them in the hospital periodically if they’re not managed, and maybe even head off some of those chronic illnesses with strategically applied attention and education.

Patients could make better choices for themselves and their families. They could find the best care by employing the same digital methods that now suggest where they should have dinner or get their oil changed.

Insurers and employers could refine health benefit coverage to better serve the needs of their employees and members, pay for services proven to keep them healthier, and identify the best providers for those services. And they could do it in real time, or close to it, instead of relying on data from last year.

In short, health care could become the same kind of data-driven powerhouse as retailing or financial services — except in the service of saving lives and keeping everyone healthy.

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How Technology is Changing Healthcare Education

How Technology is Changing Healthcare Education | Healthcare and Technology news |

Ten years ago, a team of surgeons had to remove an inflamed gallbladder by hand – now a robot does it. Before COVID-19, nursing students performed their clinicals in-person surrounded by instructors and other students – now some use VR. The future of healthcare is technology, whether you’re a seasoned professional or a first-year student.

With the move to online education, technology has also become a bridge between schools, instructors, and students. In addition to virtual lectures and online exams, you have patient simulations, augmented reality, and other training mechanisms that prepare students to enter increasingly tech-heavy careers upon graduation. Although few abilities trump keen observation and quality bedside manner, tech skills and experience are definitely on the rise.

If you have your eye on higher education in healthcare, learn how today’s top tech is paving the way for future students just like you.

Virtual & Augmented Reality

Virtual reality (VR) and augmented reality (AR) are quickly emerging as the high-tech solution for improving the delivery of healthcare education. With medical technology undergoing revolutionary upgrades at a faster pace than ever before, it’s imperative that all healthcare professionals stay up to date with the most current innovations. As healthcare relies more heavily on technology as each year goes by, students should be introduced to it in the classroom early on in their education. Here’s what you need to know about VR and AR in the healthcare classroom today.

Wearable/Portable Technologies & Mobile Health

In most cases, wearable technology is designed to continuously monitor human behavior and physical activity, including biochemical and physiological aspects. The devices might be data-driven, designed to capture patient vital signs like blood pressure and heart rate to blood oxygen saturation and body temperature. Alternatively, wearable technologies might be video- or photo-oriented to help healthcare providers assess patients’ movements in physical space, their posture, and more. They can be attached to limbs on the body, objects in a room or vehicle, or even a patient’s skin. There have also been developments in the last several years in wearable devices for healthcare learners, including the use of Google Glass in the classroom.

Digital Health and Telehealth

Digital health and telehealth refer to just about everything in healthcare practices made possible by remote or long-distance technologies. This includes remote clinical healthcare, health administration operations, public health operations, and professional health-related education. All of these components of telehealth are expanding with the improvement of technology and the convenience of being able to serve students who have scheduling challenges or geographic barriers that would normally keep them out of traditional on-campus healthcare programs.

Additionally, today’s healthcare workers, especially medical physicians and others who work directly with patients, enjoy easy remote access to medical documents like x-rays, patient medical histories, and even patients themselves through telehealth computer systems and dedicated video technologies.


Robotics in healthcare refers to certain types of new technologies that exist in areas like surgery, rehabilitation, sterilization and cleaning, voice recognition, and much more to assist healthcare workers with daily tasks and patient care. We can categorize four main types of robotics used in healthcare: surgical robots, exoskeletons, care robots, and hospital robots. From minimally invasive surgeries and recovery efforts to in-home patient assistance and general laboratory tasks, the variety of uses for robotics is growing every year, making healthcare more efficient and precise.

Remote Health Monitoring

Similar to the advantages we see from wearable technologies, remote health monitoring (also referred to as remote patient monitoring or RPM) essentially helps healthcare workers to gather information on patients through data outside of the usual healthcare settings like clinics and hospitals.

Companies like Care Innovations offer a variety of remote health monitoring systems that patients can engage with, many of which use technologies that are quite similar to a tablet or iPad. These technologies also include utility adapters, room motion sensors, and bed sensors to monitor patient activity and mobility. Healthcare providers get much more patient data this way and can tailor their treatments to better suit patients’ needs as a result.

Artificial Intelligence (AI)

AI is becoming increasingly popular and widespread in the healthcare field. Most standard applications for this technology involve patient diagnoses, the development of patient treatment plans, various administrative activities, and patient engagement. Various types of AI uses in healthcare are quickly growing, including machine learning, natural language processing, physical robots, task automation, administrative applications, and more. HealthTech highlights some of the recent medical tools that leverage AI technologies, including robotic-assisted therapy, MelaFind, and virtual assistants.

Computer-Assisted Learning (CAL)

Broadly defined, CAL is when we use the assistance of computerized technologies to support learning for humans. In healthcare, one of the primary applications of CAL has been simply to help students, professors, and healthcare professionals keep up with the overwhelming amount of health-related information we’ve acquired through advanced technologies. Additionally, CAL has served as an increasingly popular tool for medical professionals to learn sophisticated skillsets that are continuously more closely tied to advanced technologies.


Healthcare analytics focuses on the analysis and use of data collected in four main areas of the field: pharmaceutical research and development, clinical, patient behavior and sentiment, and claims and cost. This technology is also used to update and inform stakeholders, manage incredibly large data sets, evaluate practitioner performance, predict risk, reduce patient and institutional spending, and make medical diagnoses.

Technical Doctor's insight:

Contact Details : or 877-910-0004

nani pepsi's curator insight, November 3, 2022 9:32 AM

Acquista Online La Prescrizione Di Perdita Di Peso
Crediamo che i farmaci a volte possano essere molto urgenti da assumere. Se hai urgente bisogno di farmaci, possiamo anche fornirti una consegna espressa,


Quando si tratta di questioni di salute, è fondamentale sapere quali sono le farmacie buone e cattive.
Devi imparare cosa cercare in una farmacia per sapere se è quella giusta. Ricorda, hai a che fare con la vita, ecco perché devi stare attento a dove acquistare i tuoi farmaci e altre necessità farmaceutiche.




Quando si tratta di questioni di salute, è fondamentale sapere quali sono le farmacie buone e cattive.
Devi imparare cosa cercare in una farmacia per sapere se è quella giusta. Ricorda, hai a che fare con la vita, ecco perché devi stare attento a dove acquistare i tuoi farmaci e altre necessità farmaceutiche.

NANI PEPSI's curator insight, November 3, 2022 9:47 PM

Acquista Online La Prescrizione Di Perdita Di Peso
Crediamo che i farmaci a volte possano essere molto urgenti da assumere. Se hai urgente bisogno di farmaci, possiamo anche fornirti una consegna espressa,


Quando si tratta di questioni di salute, è fondamentale sapere quali sono le farmacie buone e cattive.
Devi imparare cosa cercare in una farmacia per sapere se è quella giusta. Ricorda, hai a che fare con la vita, ecco perché devi stare attento a dove acquistare i tuoi farmaci e altre necessità farmaceutiche.




Quando si tratta di questioni di salute, è fondamentale sapere quali sono le farmacie buone e cattive.
Devi imparare cosa cercare in una farmacia per sapere se è quella giusta. Ricorda, hai a che fare con la vita, ecco perché devi stare attento a dove acquistare i tuoi farmaci e altre necessità farmaceutiche.!

3 Ways to Embrace the Digital Age in Healthcare

3 Ways to Embrace the Digital Age in Healthcare | Healthcare and Technology news |

There are many misconceptions about healthcare technology, but you can improve your organization’s approach to IT by clearing them up and following these three steps.


Healthcare technology is everywhere. However, despite its widespread adoption, significant misconceptions have surfaced.

One such misbelief relates to how advanced healthcare organizations are when it comes to cybersecurity. Many organizations are actually behind. Despite pressure from regulatory agencies, healthcare doesn’t routinely conduct IT audits, and departments are not held accountable.

Another misconception is that small healthcare practices aren’t susceptible to data breaches. The reality is that cybercriminals attack large and small operations if there is an exploitable security gap. For that reason, every healthcare organization requires high-quality, updated cybersecurity systems.

Many also mistakenly assume that telemedicine’s popularity will fade once the pandemic does. But telemedicine is here to stay, and experts predict it will be a $184.5 billion market by 2028. Effective telemedicine requires a comprehensive approach, mainly because HIPAA compliance regulations are tightening after the pandemic’s more lenient early days.

Finally, there is the misguided notion that artificial intelligence in healthcare will reduce personal interactions between patients and providers. In actuality, AI can increase personal connections. It also offloads work so providers can avoid burnout, which we know is a real and detrimental outcome.

Healthcare technology is continually evolving. The sooner these misconceptions are cleared up, the more proactive you can be about shaping a relevant IT infrastructure at your organization.


How Misconceptions Influence Healthcare’s Approach to IT


Without proper clarification, misconceptions can adversely impact healthcare organizations’ IT mindsets in a few ways.

For example, a less urgent cybersecurity approach can lead an organization to neglect a comprehensive and continually evolving cybersecurity strategy. Without that, data loss from breaches can cause severe harm to organizations (e.g., reputation damage, liability for stolen customer data, compliance violations, and hefty fines).

Without an engaging and secure telehealth solution that provides a positive patient experience, you also risk losing patients, revenue, and maybe even your whole practice. But with a comprehensive IT platform that delights your patients, your bottom line benefits.

Likewise, failure to embrace new technologies like AI because of fear or ignorance guarantees your organization will squander sizable opportunities for growth and better patient outcomes.

Here are three ways to boost your healthcare organization’s IT approach:


1.Make employee cybersecurity training a company requirement.

Although cybersecurity seems to be all about cutting-edge technology, one of the most significant vulnerabilities is employee error. According to one study, 88% of data breaches were human-based, often due to the negligence of younger employees.

For that reason, it’s critical to conduct regular cybersecurity awareness training sessions. These programs educate your staff on issues such as phishing attacks and security best practices, including creating strong passwords, using two-factor authentication, and having the appropriate level of distrust regarding critical digital resources.


2. Use telehealth to monitor patient satisfaction.

Given that telehealth is becoming a prominent component of healthcare delivery, you simply cannot afford to ignore it. To get the most value from your efforts, regularly follow up on your patients’ satisfaction with your service.

That’s even more important given the findings of J.D. Power’s “2021 Telehealth Satisfaction Study.” The 4,600-person study concluded that although telehealth adoption increased 36% from the previous year, many respondents reported dissatisfaction with the services. Issues included a lack of clarity regarding costs or details about providers and confusing technology.


3. Embrace AI.

Use AI to its full potential. It can revolutionize your healthcare operation, bringing it into a whole new era of productivity, quality care, and increased revenue.

Keep in mind that whether you decide to make this leap or not, your peers already are. It’s a quickly growing facet of healthcare currently being used to help provide remote diabetes care, interpret X-ray scans, improve data analysis and diagnoses, and more.

Fortunately, it’s not hard to overcome misconceptions and embrace how IT can be a great boon to healthcare. It just starts with creating a culture of awareness and acceptance of the best practices. After that, it’s a matter of finding a good fit with vendors who offer high-quality IT solutions for healthcare. Auditing your entire IT infrastructure can be daunting, but it is critical. By breaking it down into focused steps, you will set your organization and your patients up for a rewarding future.

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Smarter Technology Can Resuscitate the Healthcare Sector

Smarter Technology Can Resuscitate the Healthcare Sector | Healthcare and Technology news |

The last two years have dealt doctors and nurses a brutal hand, leaving many ready to fold. The horror of so many lives lost, compounded with additional regulatory and administrative burdens in a sector that is already one of the most heavily regulated, has many in healthcare rethinking their life’s calling.

As CEO of myNurse, I have witnessed the latter firsthand. The administrative burden placed on doctors and care teams significantly impacts their ability to effectively and efficiently do their jobs and limits the number of patients they’re able to see and the time they have to spend with those they do. Those who enter the medical field do so with the noblest of ambitions, but these regulatory hoops force them to prioritize compliance and paperwork ahead of their patients.

The administrative obligations placed on health care providers are unsustainable and the often overreaching micro regulation carries an enormous financial cost. A recent study estimated that healthcare administration in the U.S. costs more than $800 billion, with approximately $265 billion of that being spent on unnecessary regulatory and administrative tasks. This is more than the U.S. spends annually on cancer-related and heart disease-related healthcare combined.

Beyond the wasted hours and additional staff needed to deal with these tasks and requirements like preauthorizations are patients suffering due to delayed treatments. That’s not to mention those who might have experienced different outcomes if a portion of those wasted billions had been redirected to research on the aforementioned leading causes of death.

It should be no surprise, then, that we are facing an urgent shortage of physicians and clinical staff—one that is likely to get far worse. A recent survey showed significant burnout amongst physicians and nurses in 2020, with one in five physicians and 40% of nurses planning to leave their practice in the next two years. Another revealed that over 90% of nurses are considering leaving their profession. While COVID most certainly had a negative impact on our healthcare providers, most attribute their burnout to bureaucratic and administrative tasks. There’s no doubt the forced choice of administrative duties over best patient care plays a key role as well.

The widespread adoption of Electronic Health Records (EHRs) was supposed to streamline our healthcare system, but it has actually had the opposite effect. Adopting and maintaining EHRs has been a major contributor to physicians’ administrative burdens, robbing patients of in-person time with their doctors and forcing other staff to work longer hours to meet the requirements.  A recent survey found that 30% of physicians and other health professionals “spend more than six hours per week—almost a full workday per week—on the EHR outside of normal scheduled work time.” 

 Smarter technology is one impactful answer, allowing doctors and caregivers to meet administrative requirements while still focusing on direct patient care.

For example, there is growing evidence that EHR software that integrates voice recognition and artificial intelligence could lead to greater efficiencies for doctors and caregivers, returning more than three hours to their work week. Some hospital systems are also in the process of implementing a speech-to-text solution that records physician-patient conversations and incorporates medical data directly into the patient’s EHR.

We also must continue to prioritize efforts to improve interoperability between EHR’s, a goal which so far remains elusive. Telehealth, a rapidly growing area that promises convenience and more widespread access to care, must also be streamlined and more widely adopted.

It’s time to reevaluate our dysfunctional healthcare system and to relieve doctors and caregivers from the growing, unsustainable mountain of paperwork and regulatory compliance measures. Healthcare organizations must deploy smarter technology to give their staff the time they need to focus on what they were trained to do - spend time directly caring for patients.

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How digital India is impacting healthcare

How digital India is impacting healthcare | Healthcare and Technology news |

Digital India is a campaign launched by the Government of India, in order to ensure government’s services are made available to the citizens electronically by improved online infrastructure and by increasing internet connectivity or making the country digitally empowered in the field of technology. The role of digital health technologies such as wearable tech, telemedicine, genomics, virtual reality (VR), robotics, and artificial intelligence (AI) are changing the landscape of the Indian healthcare system. Like many other markets, India too is at the cusp of a ‘digital health’ revolution. Digital health technology is a pivotal pillar in delivering value-based care across the healthcare continuum in India. Adaptive intelligent solutions can help lower the barriers between hospitals and patients, improving access to care and enhancing overall patient satisfaction, particularly in tier II and III cities in India. The driving force in India is lifestyle diseases, ageing population, rising income levels, increased access to insurance, and growing health awareness.

The goals/objectives of the digital health program in India are to the prevention of disease, lessen healthcare costs, customisation of medicines as per patient requirements, monitor and manage chronic conditions, enhance and boost access, and expand & improve the quality of healthcare, facilitating the individuals at best.


In India, the digital transformation of health is likely to reach the utmost level like telemedicine. This facility exploded in popularity soon after the lockdowns, imposed by the pandemic came into effect and continues to be a game changer for various health institutions. It not only has the ability to remotely consult specialists who have been beneficial to existing customers, but it has also enabled new customers to connect with specialists of their choice, irrespective of location. Hence, facilities which used to have only a local clientele are now able to reach out to a much wider audience. The delivery of health care services, where distance is a critical factor, by all health care professionals using ICT for the exchange of valid information for diagnosis treatment and prevention of disease and injuries, research and evaluation, and continuing education and the aspects are Tele-Radiology (Radiological patient images- X-rays, CTs, and MRIs), Tele-Nursing (Delivery, management, and coordination of care and services), Tele-ICU (Real-time audio, visual and electronic means, and health information), Tele-Consultation, Tele-Surgery (Remote surgery) and the advantages of telemedicine are like saving of cost and effort, especially of rural patients, providing timely and faster access, maintenance of records and documentation, patient’s safety, as well as health workers safety and telemedicine can also enable the availability of vital parameters of the patient available to the physician with the help of medical devices such as blood pressure, blood glucose, etc for the management.

Electronic Health Record (EHR) An electronic health record is the systematised collection of patient/ population electronically-stored health information in a digital format. These records can be shared across different health care settings. EMR – Digital version of a patient’s chart which contains the patient’s records from multiple doctors and provides a more holistic, long-term view of a patient’s health.

The Government of India has introduced a bunch of new regulations and standards such as amendments to the Clinical Establishment Act for ensuring data compliance, the National Digital Health blueprint, and the personal data protection bill. These initiatives have ensured that digital copies of a patient’s medical history, investigation findings, medication, diagnosis, and treatment are now easily accessible online or through authorized mobile applications and the advantages of EHR is to get accurate, up-to-date, and complete information about patients, quick access to patient records for more coordinated, efficient care, diagnose patients, reduce medical errors, and provide safer care, more reliable prescribing, privacy and security of patient data, reducing costs.

Robot-assisted surgery is the assistance of robots; doctors are able to perform surgical procedures more efficiently with the assistance of robotics, surgeons are able to maneuver more precisely and with smaller incisions, and the advantages are reduced loss of blood, and better pain management, and quicker recovery. The innovation of Microbots for diagnosis and treatment of diseases (Capsule endoscopy, in which the patient swallows a tiny camera so that the healthcare provider can take pictures of the digestive tract) and the future focus is to remove plaque from arteries, taking tissue biopsies, attacking cancerous tumours directly, delivering targeted medication etc.

Remote Monitoring of Patients Tools that enable medical facilities and professionals to remotely supervise their patients, have their readings sent to them from time to time, and facilitate two-way communication have also become popular. More companies are entering the market with upgraded offerings, as such tools solve two major problems. They enable professionals to monitor and diagnose patients remotely at a time when getting beds in hospitals could be difficult, and they also improve patient experience as they don’t have to visit the facilities in person for every check-up.

On the other hand, the Self-Monitoring Healthcare Devices / wearable medical device are very popular in every age of groups, a wearable medical device can be defined as a device that is autonomous, non-invasive, and that performs a specific medical function such as monitoring or support over a prolonged period of time. Some examples are Wearable Biosensors, it is a combination of wearable objects and biosensors. It can measure the blood glucose level, BP, heartbeat rate, and other biometric data to be constantly measured. The real-time information is then sent to the healthcare providers and there it becomes two-way communication.

The Internet of Medical Things (IoMT) is the amalgamation of medical devices and applications that can connect to health care information technology systems using networking technologies. It can be a combination of telemedicine, mobile technology, and wearables, including ECG monitors. Many other common medical measurements can also be taken, such as skin temperature, glucose level, and blood pressure readings.

M-Health (Mobile health) also known as mobile health – refers to the practice of medicine and public health supported by mobile devices such as mobile phones, tablets, personal digital assistants and the wireless infrastructure. Digital health application for M-Health includes education and awareness, diagnostic and treatment support, disease and epidemic outbreak tracking, healthcare supply chain management, remote data collection, remote monitoring, healthcare worker telecommunication and training telemedicine and chronic disease management.

Some technologies are introduced for general public like Mobile Diagnosis, mobile phones are enabling self-diagnostics, enabling patients to identify & manage health. Netra-G is a device that attaches to a smartphone and enables the patient to perform their own eye test by measuring the refractive error of the eye. Heart monitoring – The device snaps onto the iPhone and wirelessly communicates between the app and your phone resting your fingers from each hand on the electrodes, the app recognizes skin contact and performs the ECG while it records, it displays and saves your heartbeat. Ear view – Parents can view their child’s ear canal and eardrum, then share images & symptoms with their physician remotely.

Glucose management- The meter will automatically sync data with the Diabetes Manager app tracking glucose, insulin and carbs while also charting glucose patterns over time. Examples of mobile applications are Diet & Nutrition apps, Fitness (and/or tracker) apps, Patient & Provider care apps, Medical Device Accessory apps, Wellness apps, Patient & Provider care apps, and Medical Device Accessory apps.

Several Ongoing initiatives in Digital Health by MoHFW like reproductive Child Healthcare (RCH), Integrated Disease Surveillance Program (IDSP), Hospital, e-Shushrut, Electronic Vaccine Intelligence Network (eVIN), National Health Portal (NHP), National Identification Number (NIN), Online Registration System (ORS), Mera Aspatal (Patient Feedback System), National Medical College Network (NMCN) and the advantage of Digital Health are quicker access to test results, easy to pay the bills, sharing of information with your family members, offers clinicians note feedback, the patient can review information for medical errors, instructions. The information is simple and easy to document, and the patient has a better approach and access to the medical records tool for health protection and the disadvantage are complicated and complex health information causes concerns for the patients, clinician’s reports elevate patient provider’s relationship concerns, hackers can approach and access patient’s records. It needs to be upgraded on a regular basis; digital health records are expensive, complex, and composite processes.

Health System Challenge (Hsc) Digital Health are Population denominator (Delayed reporting of events, Lack of quality/ reliable data information, communication roadblocks lack of access to information or data, insufficient utilization of data and information, lack of unique identifier), Availability (Insufficient supply of commodities, insufficient supply of services, insufficient supply of equipment, insufficient supply of qualified health workers) Quality (Poor patient experience, insufficient health worker competence, low-quality health commodities, low health worker motivation, insufficient continuity of care, inadequate supportive supervision, poor adherence to guidelines), Acceptance (lack of alignment with local norms and programs which do not address individual beliefs and practices ), Cost & Utilisation (Low demand for services, geographic inaccessibility, low adherence to treatments, loss to follow up) and Efficiency.



Digital healthcare in India, like most other countries, has received a much-needed shot in the arm and is maturing by the day. Organisations within the industry as well as enterprises enabling the industry to transition are thinking of novel ideas to further improve patient care, coordination between employees and facilities, and create smarter medical devices that make diagnosis faster and more accurate. The continuing transformation will ensure that more patients from Tier-II and Tier-III cities in India get the same high-quality consultation and attention as those in big cities, and a stronger workforce will be built, thanks to remote learning. Overall, we can be optimistic about the future of one of the largest industries of the nation and look forward to new and exciting developments in 2022 and beyond.

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Rising Trends in Digital Health: 5 Technologies That Will Define the Future of Healthcare

Rising Trends in Digital Health: 5 Technologies That Will Define the Future of Healthcare | Healthcare and Technology news |

Healthcare and technology go hand-in-hand. But the question on many people's minds is where are they going? Digital health trends like telemedicine, IoT devices, and virtual reality surgical training continue to attract massive investment, helping the industry improve health equity worldwide.

The World Health Organization defines health equity as "... the absence of unfair and avoidable or remediable differences in health among population groups defined socially, economically, demographically or geographically."

Put simply, health equity is all about making healthcare more accessible and affordable for everyone — and digital health trends are the driving forces behind health equity.

Of course, there are many challenges on the road to achieving this goal, with stakeholders at all levels of government involved and a myriad of social determinants of how we collect, analyze, and share health data. 

Read on as we explore the five crucial digital health trends with real momentum and explain why they matter to health equity and the future of healthcare.

5 Biggest Digital Health Trends to Watch

The pandemic triggered massive disruption in the healthcare industry and pushed the sector to invest more in innovative new technology. Some of the following digital health trends gained momentum during the pandemic and are predicted to change the future of medicine:


Telehealth is the use of digital communication technologies such as computers, mobile phones, and tablets, to facilitate the delivery of healthcare services.

As the pandemic reduced in-person visits, healthcare providers had to pivot quickly. In April 2020, over 43% of Medicare primary care visits were conducted via telehealth services. 

Even as the COVID-19 vaccines roll out globally, telehealth looks set to stay. Studies from Fortune Business Insights predict the telehealth market will grow beyond $185 billion by 2026.

Why it matters

Telehealth offers multiple benefits, including:

  • Expanded healthcare access: More people can access health-related services, including medically vulnerable people and people without transportation or a provider in their local area.
  • Reduced contact: There is less contact between healthcare workers and patients, and also less chance of illness spreading, with fewer patients in medical buildings. 

  • Care for urgent non-COVID-19 conditions: Patients with chronic conditions who need frequent checkups may be able to schedule remote appointments, if no in-person tests are required.
  • Continuity of care: With consistent communication, providers can nurture their relationships with patients and potentially avoid any negative consequences caused by delayed or missed in-person appointments.

What to expect

People want a seamless digital experience to schedule appointments, get medication, and receive essential communication and advice on their health. Telehealth — instead of being a passing trend — is expected to become an important component of a comprehensive health care plan that improves the patient experience.

An estimated 40% of primary care appointments could be conducted remotely, and providers that offer telehealth options are likely to benefit from greater patient volume. The American Hospital Association reported that hospitals lost $161.4 billion from March to June 2020. Telehealth could help hospitals recoup some of those losses.

McKinsey estimates that $250 billion of the total U.S. healthcare spend may go virtual in the years after the pandemic. Rather than looking to digital health trends as an experimental option, the sector must fully embrace innovation to improve the agility and efficiency of providers in the future.


The Internet of Things (IoT) is the growing network of physical objects that contain software, sensors, and other technologies that enable connections and data exchanges with disparate devices and systems across the internet.

Medical IoT is a rapidly growing field that uses wearable devices, monitors, and integrated applications for healthcare needs. With AI and machine learning technology, medical IoT can offer enhanced versions of traditional medical devices, like the  smart inhaler — a device that syncs patient usage with a mobile app. 

Why it matters

Medical IoT offers multiple benefits, including:

  • Remote monitoring: Patients can use wearable devices and go about their lives. Meanwhile, healthcare professionals can remotely monitor patients' conditions with real-time data insights, reducing the frequency of in-person appointments
  • Improved convenience: With the rise of 5G and smart technology in healthcare, patients have more ability to manage their conditions and health needs. For example, smart insulin pens, and glucose monitoring devices help people keep tabs on their health needs with minimal disruption to their lives. 
  • Lower costs for patients: As the technology improves, many IoT devices will become more affordable, edging us closer to health equity. That’s good news for patients.

  • Lower costs for hospitals: Hospitals rely on their complex medical equipment, such as X-ray machines, CAT scanners, and magnetic resonance imagers (MRI). The cost of replacing one of those machines is exorbitant, and any amount of machine downtime is costly. With IoT devices that monitor these machines and alert technicians about problems, hospitals can perform better predictive maintenance and avoid costly downtime. 

  • Furthermore, hospitals can use sensors to track supply inventory, optimizing their usage and spending on gases, chemicals, and disposable items like masks, gloves, and syringes.

What to expect

IoT is one of the fastest-growing digital health trends — DataProt reports a compound annual growth rate (CAGR) of 28.6% this year. This growth is supported by the global adoption of cloud computing and mobile apps. 

When it comes to healthcare, data storage and security are paramount. Patients must be able to trust healthcare providers with sensitive personal information. In addition to protecting personal information, IoT devices must be reliable in terms of their connections, performance, and real-time data delivery. If there are any lags or downtime, healthcare professionals could miss critical information about a patient's health. 

The cloud age is ripe with opportunities for healthcare, but trust in data security and IoT functionality is still evolving. With that in mind, we can expect greater investment and funding to improve upon IoT technology in the years ahead.


As life amid a pandemic extended, it deeply affected mental health as well. Mindfulness apps like Headspace, Liberate, and Calm weren’t just for the niche meditation audience, as mainstream adoption drove download numbers in the wellness app market. According to a report from The New York Times, Calm acquired 10 million new users, and venture capitalists pooled

$75 million to take the company’s valuation north of $2 billion.

Employers are increasingly recognizing that wellness apps could be helpful for their employees. Company initiatives like corporate wellness retreats, workplace yoga, and team-building events have been around for decades, but the employer-provided wellness app is a relatively new concept.

Why it matters

Employee wellness apps offer multiple benefits, including:

  • Increased job satisfaction: A report from SHRM found that 48% of U.S. employees claim that they would have more confidence in digital health tools if their employer offered them. Moreover, 26% said that if such apps were on offer, they would be more inclined to stay with their current employer.

  • Reduced costs: The increasing usage of health apps will help reduce overall health costs for providers and patients. In 2018, reports estimated health apps might save the U.S. healthcare system $7 billion each year. As the mobile age continues to attract more people to wellness apps, employers should see a decrease in employee “sick days,” which would in turn boost productivity. 

  • Personalized healthcare: Many health and wellness apps enable users to set up a personal profile, which will then track key measures like weight, calorie count, and blood sugar levels. With personalized healthcare at our fingertips, people can have more control over their health. Also, users can share health data with their providers.

What to expect

Some of the apps targeting the corporate workplace include Limeade, which enables companies to nurture a culture of well-being and inclusion, and Vantage Fit, which helps employers create simple wellness programs and challenges to help their employees stay fit and healthy. 

The Future of Health report from Deloitte projects wellness to continue as one of the most important digital health trends in the next 20 years. By 2040, we can expect a fundamental shift away from treatment-focused medicine, with 60% of spending going toward improving health and well-being.

In line with this trend, employers will focus more on marketing to audiences that are interested in wellness apps and practices. Companies will implement digital wellness strategies as they attempt to build their teams and improve workplace morale and job satisfaction. 


Soon after the COVID-19 pandemic began, it was apparent just how unprepared the healthcare sector was to handle the situation. Within a few weeks, the only digital health trends worth talking about were those that sought to combat the spread of the virus. 

Many countries raced to launch apps that would help governments and healthcare providers with virus testing, tracking, and monitoring. No sooner than one app was launched, another would arrive with enhanced capabilities for shorter testing times and better tracking features. 

Unfortunately, it took the tragedy of the pandemic to spark innovation in the healthcare industry. While there have been massive losses since the end of 2019, there has also been tremendous progress.

Why it matters

There have been remarkable breakthroughs in genomics and sequencing technologies In the last two decades. This progress laid the foundation for the COVID-19 vaccines and made their accelerated development possible.

Messenger RNA (mRNA) is the basis of the first vaccines. But it's not limited to tackling COVID-19, as it enables researchers to create many other vaccines and treatments at much lower costs and in less time than traditional methods. Described as “biological software,” mRNA vaccines can be customized with a protein code that stimulates an immune response to a specific pathogen. 

We may soon see new solutions for other diseases, including malaria, hepatitis B, tuberculosis, and cystic fibrosis. Furthermore, researchers are looking at how mRNA medicines could be used to treat cancer, with clinical trials in progress.

What to expect

The rapid innovation in healthcare throughout the past years made it possible to bring testing for COVID-19 mobile. Soon, we should be able to test for other infectious diseases outside of traditional healthcare settings, enabling providers to test people in workplaces, schools, and homes.

In February 2021, Moderna, Inc. announced intentions to ramp up manufacturing investment, as it targets the production of 1.4 billion doses of its COVID-19 vaccine in 2022. We can also assume that virtual healthcare will enhance efforts to control the spread of disease.

Historically, the vaccine development process has been slow — 10 years, in some cases — but production timelines for mRNA vaccines could be as short as three to four months.

In the future, AI and predictive analytics will be crucial to helping medical professionals develop a better scientific understanding of the incubation and spread of infectious diseases. However, at a more fundamental level, the entire global health system is set for an overhaul of supply chains and logistics so that it's possible to deliver effective, affordable vaccines and healthcare to whoever needs it when they need it. '


Not long ago, virtual reality seemed like a novelty best suited to video games. Now, virtual reality (VR) and augmented reality (AR) technology offer a wide range of practical uses beyond gaming and entertainment.

In healthcare, VR helps with surgical training and planning, enabling both surgeons and patients to get more comfortable with procedures. There are also many reports about the efficacy of VR for helping with chronic pain management and mental health.

MarketsandMarkets conducted a study on the expected growth of AR and VR in healthcare, projecting a 30.7% annual growth rate between 2017 and 2025. 

Why it matters

Health professionals already use virtual reality to treat a variety of conditions, including mental illnesses, such as anxiety, phobias, and post-traumatic stress disorder. Providers can use VR and AR technology to create simulations of real-life scenarios where people feel psychologically challenged — for example, dealing with eating disorders, a fear of heights, or social anxiety. 

Although people understand when they put on a VR headset or use an augmented reality application that the environment is artificial, the simulation gives them an opportunity to face challenges and overcome their fear with practice. Oxford VR reports that this style of immersive therapy can reduce fears and phobias by 68% after an average treatment time of only two hours. 

On the providers' side, VR helps medical professionals build their skillset. A study on the impact of VR training in healthcare revealed that students who received VR training were able to complete medical procedures 20% faster than a group who only received traditional training. Also, the VR-trained group completed 38% more steps correctly. 

What to expect

The healthcare VR market was just $2 billion in 2019, but a recent report from Verified Market Research predicts massive growth, to the tune of $34 billion by 2027.  

In the next year (and beyond), we’ll witness many new VR and AR applications in healthcare. These technologies transcend the short shelf life of many digital health trends, as they present tangible long-term benefits for medical professionals and patients, which can save time and money, and improve overall patient care.

Companies like Oxford VR and Karuna Labs are leading a mission to help people who have chronic pain and mental illness — both of which were health problems long before the pandemic lockdown.

VR is still a developing technology. As it continues to advance, its capabilities herald exciting developments for areas like preventive healthcare, rehabilitation, and cancer therapy.


The technology behind telemedicine, IoT devices, and healthcare apps didn’t just start appearing in response to the pandemic — we’ve had it for years. But it took the pandemic to push healthcare forward, and for health institutions, providers, and patients to embrace digital health trends and new technology.

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Google says health projects will continue even as it unwinds dedicated health division

Google says health projects will continue even as it unwinds dedicated health division | Healthcare and Technology news |

Google says it is ramping up its investments in health-focused initiatives even as it dissolves its single unified health division.


From consumer-facing products like sleep tracking tech with its Nest Hub smart home devices and Fitbit wearables to clinical initiatives like its Care Studio EHR search tool and its health AI work, Google has intensified its focus on health tech and expanded its reach into the healthcare market.


But those projects will now be split across Google's myriad teams and divisions as the tech giant pivots away from a unified health strategy and reassigns its 570 employees across the company, according to a leaked memo obtained by Insider.

Google Health chief David Feinberg, M.D., who joined the company in 2019, jumped ship to health IT company Cerner as its new CEO and president. The electronic health record software company announced the move late last week.

Meanwhile, the projects and teams that make up Google Health will now be scattered across different parts of Google, Insider reported Friday. 


A source at Google said the company remains deeply invested in health-focused initiatives but confirmed there will no longer be a single entity at the company focused on health projects.

The teams under Feinberg will all continue on, and there will be no job eliminations or project changes.

In a memo sent to employees Thursday, Jeff Dean, Ph.D., the head of Google's research division and Feinberg's boss, said Google Health would no longer function as a unified organization, Insider's Hugh Langley and Blake Dodge reported.


Google's chief medical officer, Karen DeSalvo, M.D., who leads the team focused on regulatory and clinical matters, will now report to Chief Legal Officer Kent Walker, the memo said.

Google Health's clinicians team, which is building a tool for physicians to more easily search health records, will now report directly to Dean. The health AI group, focused on projects like medical imaging, will report to Yossi Matias, the vice president of search and AI, Langley and Dodge reported.

The move to shutter the dedicated health division signals the end of a unified healthcare strategy at Google, Jeff Becker, principal analyst for healthcare at market intelligence firm CB Insights, told Fierce Healthcare.

"They are going back to a business-line vertical healthcare strategy, rather than the top-down pursuit of healthcare at scale at Google. The fractured healthcare strategy across Google never did get resolved," he said. 

He added, "Nest is still following its health strategy, Fitbit has its own healthcare strategy as does Google Search, and that's on the consumer-facing side. Google Health has an enterprise health strategy while Google Cloud has an enterprise health strategy and so does Verily. Different parts of the business are still pursuing a non-unified and non-cohesive healthcare strategy."

In a statement provided to Fierce Healthcare, a Google spokesperson said "Google deeply believes in the power of technology to improve health and wellness and we have increased our health investments across the company. This has included developing projects within Google Health, launching and expanding health-related features on Search, Maps and YouTube that reach billions of people, and welcoming Fitbit."

"Today, health is a growing, company-wide effort and the Google Health name will continue and encompass our projects that share the common purpose to improve global health outcomes," the spokesperson said.

Google reorganizes its health teams … again

Google Heath was formed in 2018 as a way to silo all of the tech giant's health efforts under one division. The company tapped Feinberg, former CEO of Geisinger Health, to lead it and develop a centralized, overarching strategy for the health-focused projects.

Back in June, the tech giant’s health division went through a significant reorganization, resulting in a downsized team and a streamlined focus on clinical and regulatory work rather than consumer-facing offerings, Fierce Medtech's Andrea Park reported, based on initial reporting from Insider.

That reorg included a transfer of nearly 20% of Google Health’s staff to other teams throughout the company, including its search division and newly acquired Fitbit.

"That was telling and a sign of another fracturing of the unified healthcare strategy," Becker said.

He added, "Google’s health strategy was notoriously fractured. We saw some early movement that it looked like this was going to go somewhere."

In response to the COVID-19 pandemic, Google Health created community mobility reports to aid public health efforts and worked with Apple on exposure notification technology. Google Health has built out clinical tools like Care Studio, developed an AI-powered dermatology assist tool and ramped up partnerships with health systems through its Google Cloud healthcare data products


Former employees previously told Insider that Google Health had a central business development team to explore ways the product area could make money, Langley and Dodge reported. The idea is to bake healthcare into what Google's already doing as opposed to making it a separate line of business.

And that could prove to be a more pragmatic approach to creating a revenue stream for different healthcare-related products.

"David was brought in to establish a broader aim and vision for the portfolio but other parts of the business seem to do just fine with their own niche. Maybe the more pragmatic approach is to let businesses that know those product lines verticalize them independently," Becker said.

Tech giants have struggled to rebrand as health tech companies. Microsoft tried and failed at a personal health records business. Microsoft HealthVault launched in 2007 but ultimately closed down in 2019 because of low adoption.

There also came news last week that Apple is reportedly scaling back one of its most ambitious healthcare projects. According to a report from Insider, Apple is scaling back HealthHabit, an internal application that Apple employees can use to track fitness goals, talk to clinicians and manage hypertension.

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The reproducibility issues that haunt health-care AI

The reproducibility issues that haunt health-care AI | Healthcare and Technology news |

Each day, around 350 people in the United States die from lung cancer. Many of those deaths could be prevented by screening with low-dose computed tomography (CT) scans. But scanning millions of people would produce millions of images, and there aren’t enough radiologists to do the work. Even if there were, specialists regularly disagree about whether images show cancer or not. The 2017 Kaggle Data Science Bowl set out to test whether machine-learning algorithms could fill the gap.

An online competition for automated lung cancer diagnosis, the Data Science Bowl provided chest CT scans from 1,397 patients to hundreds of teams, for the teams to develop and test their algorithms. At least five of the winning models demonstrated accuracy exceeding 90% at detecting lung nodules. But to be clinically useful, those algorithms would have to perform equally well on multiple data sets.

To test that, Kun-Hsing Yu, a data scientist at Harvard Medical School in Boston, Massachusetts, acquired the ten best-performing algorithms and challenged them on a subset of the data used in the original competition. On these data, the algorithms topped out at 60–70% accuracy, Yu says. In some cases, they were effectively coin tosses1. “Almost all of these award-winning models failed miserably,” he says. “That was kind of surprising to us.”

But maybe it shouldn’t have been. The artificial-intelligence (AI) community faces a reproducibility crisis, says Sayash Kapoor, a PhD candidate in computer science at Princeton University in New Jersey. As part of his work on the limits of computational prediction, Kapoor discovered that reproducibility failures and pitfalls had been reported in 329 studies across 17 fields, including medicine. He and a colleague organized a one-day online workshop last July to discuss the subject, which attracted about 600 participants from 30 countries. The resulting videos have been viewed more than 5,000 times.


It’s all part of a broader move towards increased reproducibility in health-care AI, including strategies such as greater algorithmic transparency and promoting checklists to avoid common errors.

These improvements cannot come soon enough, says Casey Greene, a computational biologist at the University of Colorado School of Medicine in Aurora. “Given the exploding nature and how widely these things are being used,” he says, “I think we need to get better more quickly than we are.”

Big potential, high stakes

Algorithmic improvements, a surge in digital data and advances in computing power and performance have quickly boosted the potential of machine learning to accelerate diagnosis, guide treatment strategies, conduct pandemic surveillance and address other health topics, researchers say.

To be broadly applicable, an AI model needs to be reproducible, which means the code and data should be available and error-free, Kapoor says. But privacy issues, ethical concerns and regulatory hurdles have made reproducibility elusive in health-care AI, says Michael Roberts, who studies machine learning at the University of Cambridge, UK.

In a review2 of 62 studies that used AI to diagnose COVID-19 from medical scans, Roberts and his colleagues found that none of the models was ready to be deployed clinically for use in diagnosing or predicting the prognosis of COVID-19, because of flaws such as biases in the data, methodology problems and reproducibility failures.


Health-related machine-learning models perform particularly poorly on reproducibility measures relative to other machine-learning disciplines, researchers reported in a 2021 review3 of more than 500 papers presented at machine-learning conferences between 2017 and 2019. Marzyeh Ghassemi, a computational-medicine researcher at the Massachusetts Institute of Technology (MIT) in Cambridge who led the review, found that a major issue is the relative scarcity of publicly available data sets in medicine. As a result, biases and inequities can become entrenched.

For example, if researchers train a drug-prescription model on data from physicians who prescribe medications more to one racial group than another, results could be skewed on the basis of what physicians do rather than what works, Greene says.

Another issue is data ‘leakage’: overlap between the data used to train a model and the data used to test it. These data sets should be completely independent, Kapoor says. But medical databases can include entries for the same patient, duplications that scientists who use the data might not be aware of. The result could be an overly optimistic impression of performance, Kapoor says.

Septic shock

Despite these concerns, AI systems are already being used in the clinic. For instance, hundreds of US hospitals have implemented a model in their electronic health-record systems to flag early signs of sepsis, a systemic infection that accounts for more than 250,000 deaths in the United States each year. The tool, called the Epic Sepsis Model, was trained on 405,000 patient encounters at 3 health-care systems over a 3-year period, according to its creator Epic Systems, based in Verona, Wisconsin.

To evaluate it independently, researchers at the University of Michigan Medical School in Ann Arbor analysed 38,455 hospitalizations involving 27,697 people. The tool, they reported in 2021, produced a lot of false alarms, generating alerts on more than twice the number of people who actually had sepsis. And it failed to identify 67% of people who actually had sepsis (The company has since overhauled the models.)


Proprietary models make it hard to spot faulty algorithms, Greene says, and greater transparency could help to prevent them from becoming so widely deployed. “At the end of the day,” Greene says, “we have to ask, ‘Are we deploying a bunch of algorithms in practice that we can’t understand, for which we don’t know their biases, and that might create real harm for people?’ ”

Making models and data publicly available helps everyone, says Emma Lundberg, a bioengineer at Stanford University in California, who has applied machine learning to protein imaging. “Then someone could use it on their own data set and find, ‘Oh, it’s not working perfectly, so we’re going to tweak it’, and then that tweak is going to make it applicable elsewhere,” she says.

Positive moves

Scientists are increasingly moving in the right direction, Kapoor says, producing large data sets covering institutions, countries and populations, and that are open to all. Examples include the national biobanks of the United Kingdom and Japan, as well as the eICU Collaborative Research Database, which includes data associated with around 200,000 critical-care-unit admissions, made available by Amsterdam-based Philips Healthcare and the MIT Laboratory for Computational Physiology.

Ghassemi and her colleagues say that having even more options would add value. They have called for3 the creation of standards for collecting data and reporting machine-learning studies, allowing participants to give consent to the use of their data, and adopting approaches that ensure rigorous and privacy-preserving analyses. For example, an effort called the Observational Medical Outcomes Partnership Common Data Model allows patient and treatment information to be collected in the same way across institutions. Something similar, the researchers wrote, could enhance machine-learning research in health care, too.

Eliminating data redundancy would also help, says Søren Brunak, a translational-disease systems biologist at the University of Copenhagen. In machine-learning studies that predict protein structures, he says, scientists have had success in removing proteins from test sets that are too similar to proteins used in training sets. But in health-care studies, a database might include many similar individuals, which doesn’t challenge the algorithm to develop insight beyond the most typical patients. “We need to work on the pedagogical side — what data are we actually showing to the algorithms — and be better at balancing that and making the data sets representative,” Brunak says.


Widely used in health care, checklists provide a simple way to reduce technical issues and improve reproducibility, Kapoor suggests. In machine learning, checklists could help to ensure that researchers attend to the many small steps that need to be done correctly and in order, so that results are valid and reproducible, Kapoor says.

Multiple machine-learning checklists are already available, many spearheaded by the Equator Network, an international initiative to improve the reliability of health research. The TRIPOD checklist, for instance, includes 22 items to guide the reporting of studies of predictive health models. The Checklist for AI in Medical Imaging, or CLAIM, lists 42 items, including whether a study is retrospective or prospective, and how well the data match the intended use of the model.

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AI will continue to attract investment in near future in the healthcare industry

AI will continue to attract investment in near future in the healthcare industry | Healthcare and Technology news |

Artificial intelligence (AI) was seen as one of the top current investment priorities and was thought to continue to attract investment in the healthcare sector in the upcoming two years, according to GlobalData’s latest report ‘Digital Transformation and Emerging Technology in the Healthcare Industry – 2022 Edition’.


In this survey-based report tracker, digital media was prioritised as a top current investment target, with 53% of surveyed respondents confirming that their companies are currently investing in this technology. It was followed by AI, social media and big data (Figure 1). Compared with last year’s data, digital media saw the biggest increase in current investment, up by 22% from last year. AI (+9% from 2021), social media (+8%) and big data (+5%) have also gained since last year, besides trending as very popular technologies for investment priorities for several years. Their combined usage can release synergetic power and potential that could be disruptive to the healthcare sector.


While digital media was selected as the number one current investment target, the percentage of companies investing in this technology is expected to drop by 16% over the next two years. This would likely be due to the current inflation and rising costs, which contribute to a gloomy investment environment. In the next two years, the surveyed healthcare industry professionals believed that their companies will prioritise AI as the main investment target (figure 2).


Having topped the chart as the most attractive investment target since 2018, AI is a rather versatile technology that can be applied in a wide spectrum of processes in the pharmaceutical value chain, making processes faster and more efficient; eventually saving time and labour costs.

The technology has a multititle of applications; for example, companies like Exscientia are using AI to help their pharmaceutical clients analyse vast data sets to identify potential drug targets in a shorter time. K Health, in its AI-based telehealth app, is using AI and big data to help users access accurate information on their symptoms and connect with physicians; BioSymetrics is using AI and machine learning to provide a platform and models to help pharmaceutical companies to identify targets for drug discovery; while Bayer’s AI-enabled Calantic™ Digital Solutions platform, which combines AI with Cloud computing, is used to provide more structured tasks and more improved workflow, to ease workload and pressure for radiologists.

The new digital era has been driving the uptake of digital technologies. Technologies like AI are expected to bring disruptive power to and revolutionise processes within the healthcare sector. There has been an increasing number of successful AI-use cases in the healthcare industry that support a growing trust in AI. AI’s potential is substantial – not only limited to shortening the time and reducing cost in the drug discovery process, or providing healthcare professionals with faster and more accurate diagnoses.

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The Adoption of Cloud is a Game-Changer in Healthcare

The Adoption of Cloud is a Game-Changer in Healthcare | Healthcare and Technology news |

For pregnant women in cities, a closely monitored pregnancy is often a given. Their regular visits to the doctor and prescribed ultrasounds make sure they get to see the child at various intervals during the gestation period. Any anomalies seen from such scans also get immediately addressed with the right interventions from healthcare specialists.


Unfortunately, this is not the case for pregnant women in rural India. In most of the cases, women do not get to see their child until birth. As per reports, many women do not get to see their child alive at all. Findings from HMIS, a web-based monitoring system, working under the aegis of Ministry of Health & Family Welfare (MoHFW), indicate that 70 per cent of districts (448 out of 640 districts) in India have reported Maternal Mortality Rate (MMR) above 70 deaths – a target set under Sustainable Development Goal. India in fact, accounts for 15 per cent of world maternal deaths, second only to Nigeria (19 per cent).

Philips partnered with Narayana Health, a hospital chain in India, to pilot, MOM (mobile obstetrics monitoring), a cloud-based software solution that is aimed at strengthening mother and newborn care delivery across the first 1,000 days of their life. The solution facilitates awareness, ensures collaboration across systems while maintaining care standardisation. The pilot covered 5,170 pregnant mothers and involved Mobile Obstetrics Monitoring solution (MOM) and Philips HD5 ultrasound machines. Each participant received at least one scan during their pregnancy. The ObGyn team at Narayana conducted remote review of the cases, retrieving data in real-time. The results were staggering with a 48 percent reduction in the number of anaemic cases from second to third trimester; 3x improvement in early detection of high-risk pregnancies; 2.5x increase in early referrals of high-risk cases to a higher centre of care. Preliminary estimates indicate that MOM solutions could improve 11Mn lives per annum. The easy-to-adopt digital MOM solution can transform the functioning of maternity wards across primary health facilities, especially in underserved communities.


MOM is an illustration of the vast potential of cloud technologies in transforming healthcare. At a predicted CAGR of 17.8 per cent, the worldwide healthcare cloud computing market is expected to grow from USD 39.4 billion in 2022 to USD 89.4 billion in 2027. COVID-19 saw a trigger in the adoption of Electronic Health Records, e-prescribing, telehealth, mHealth, as well as other healthcare IT solutions. Added to this is the uptake of big data analytics, wearable technology, and the Internet of Things. Further, the emergence of new payment models, and a stringent focus on cost-efficiency accelerated growth of the healthcare cloud computing market. However, obstacles including data security worries and complicated rules governing cloud data centres are anticipated to limit growth.


Empowering health systems with innovation 

Remote consultations via phone calls or video conferencing are here to stay because of their flexibility and speed. Medical services are more widely accessible across even the remotest of locations, reducing crowds in hospitals. It is not just the experience of patients that has become better, even the treatments have improved. This is so because doctors now have access to the full medical history of the patient on the cloud, which makes diagnosis and prevention highly effective and fast. This facilitates accuracy and transparency on the doctor’s part and helps the patient with increased control over their health.

Insights captured from raw data using machine learning capabilities, deployed at scale can help improve clinical outcomes and operational efficiency. The dependency on local hardware to store sensitive data is a thing of the past as automated software keeps the systems updated. All of this can be tracked in real time and shared among cross functional teams while collaborating on a single platform. Working in the cloud rather than investing in your own data centre infrastructure or local hardware significantly reduces IT costs. At the same time, another competitive advantage of the cloud is the speed of innovation that can be leveraged in building prototypes or new product features without having to do rapid experimentation or develop new algorithms.


Signing in with SaaS and Pay-AsYou-Go model

According to an article by Accenture, healthcare providers are embracing ‘Software as a Service’ (SaaS) model more after the pandemic challenged them to adapt and innovate like never before. Sixty-six percent of them expect to move their technology infrastructures to the cloud this year – a number that is set to rise to 96 per cent by 2024. Through SaaS, healthcare systems are beginning to unlock clinical and operational insights at scale while moving up innovation cycles for continuous value delivery. The pandemic created a new urgency for healthcare providers to expand their virtual care offerings and the way of connecting with patients beyond the walls of the hospital.

At the same time, they wanted the flexibility to scale up or down without large upfront capital expenditures. Effective crisis management also requires the rapid exchange of patient information across systems and care settings. Thanks to the flexibility of pay-asyou-go cloud-based services and solutions, healthcare providers were able to quickly scale up digital health technologies to meet new demands. In 2021, the software-asa-service segment was the largest segment of the healthcare cloud computing market.

Cloud adoption is becoming increasingly important in broadening the role of IT operations, ensuring data security, and improving the overall patient experience. Though adoption of the cloud in the industry is gradual and still underrated, many forward-thinking healthcare organisations are beginning to embrace the cloud. Channelling cloud computing power into the healthcare system can surely make substantial progress in quality and affordable healthcare for all, rather than a few privileged ones. After all, healthcare delivered as Software as a Service (SaaS) is both about technology transformation, and organisational transformation.


The model Philips adopts to support hospitals for cloud adoption

Philips is convinced that most hospitals and healthcare systems will move towards cloud adoption in improving efficiency, especially more so after the impact of the Covid-19 pandemic. Philips has been a leader in studying this landscape and has been pro-active in meeting with healthcare leaders globally and has published its findings in the Future Health Index report 2021.

Digital transformation can be a challenging task, and this can be very daunting for hospitals to organise their entire offering from the cloud. There can be challenges of data privacy, security, and re- organisation of services for a smooth transition, while at the same time optimising patient outcomes, reducing staff burnout, enhancing patient experience, and reducing cost of care.

Philips has a structured process which can help hospitals change and transform themselves. This process has been perfected after a series of pilots with clinical partners and helping hospitals offer better services to patients and pregnant women.

The structured process that Philips adopts is one of co-creation with clinical partners, training and transfer.

Philips Mobile obstetrics monitoring (MOM) is a cloud-based solution that is intended to digitise hospitals’ antenatal, intrapartum, and postnatal care pathways to help track and risk-stratify pregnant women. Philips helps hospitals and healthcare providers in adopting the MOM solution using the following steps:

Co-creation: Philips’ experts collaborate with clinicians in hospitals to map out the pregnancy journey to implement and manage the change with minimal obstruction in the daily work of the hospital staff. This could involve:


Charting new and optimised workflows to make sure that the waiting times at each antenatal visit are minimal and the doctors and other ancillary services have adequate time to make a correct diagnosis and optimise the care management based on the risk profile.

Making sure data collected during physical examination by the obstetrician/clinician, including the clinical laboratory, ultrasound examination and medicines administered are uploaded onto the solution.


Cloud economics reducing the on-premises infrastructure costs while moving to the cloud-based operations.


Early risk identification and management reducing the cost of care.

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Major Healthcare Technology Trends of 2023

Major Healthcare Technology Trends of 2023 | Healthcare and Technology news |

1. New AI Applications and Concerns of the Medical Community

One of the fastest growing trends in health information technology: Recent years have seen the rapid development of artificial intelligence (AI) technology, and the trend will continue in 2023. Standing among many industries that benefit from AI, medicine mainly applies it to profound diagnostics and detection of diseases, but it’s not limited to them. For example, IBM Watson is one of the AI platforms already available for business and healthcare (including custom medical software solutions).

Let’s see what support AI can offer healthcare and associated industries and how it could become the major healthtech trend in the future.

2. Data Breach Prevention

Despite all the tech precautions and healthcare provider awareness, data breach statistics demonstrate a dramatic increase over the past ten years, with violations reaching their peak in 2020/2021.

These data breaches affect thousands of patients across the US. Hopefully, in 2022, healthcare providers pay more attention to their digital ecosystems and data protection. Cybersecurity in healthcare is becoming a hot technology trend for this decade.

3. Nanomedicine

This may still sound like sci-fi, but nanotech is slowly entering our daily life. By the end of 2021, fantastic news spread around the globe: scientists have created tiny organic robots (so-called xenobots) that are able to self-replicate. So it’s safe to assume that 2023 can bring a bunch of revolutionary tidings in the field of nanomedicine. The nanomedicine industry offers enormous potential and welcomes early investors.  

If you’re wondering what nanomedicine is, here is a short definition: it’s all about the use of nanoscale (microscopically tiny) materials and objects, such as biocompatible nanoparticles, nanoelectronic devices, or even nanorobots (wow!) for specific medical purposes and manipulations, such as diagnosis or treatment of living organisms. 

For example, it can be used as a potential hunter for cancer cells or viruses, which requires a group of nanorobots to be injected into a human’s blood vessels. 

This technology is expected to successfully fight back many genetic, oncologic, or auto-immune diseases on a cellular level, including tumors, arthritis, and others (or even become an ultimate solution to them).

4. Internet of Medical Things (IoMT)

Although the IoMT is not a new thing in 2023, this sector will grow exponentially in the coming years. This industry involves plenty of digital health trends, and each of them offers excellent uses to healthcare specialists, with $ billions saved in return. 

There are many companies providing IoMT solutions, including TATEEDA GLOBAL, which can help you design and tune your IoMT system with the help of sophisticated custom software. If you’re looking for a partner in developing custom IoMT solutions, please feel free to get in touch with us!

Wearables and Mobile Apps in Medical Practice

Remote health monitoring and wellness apps are on the rise and will keep booming in 2023. If you visit GooglePlay or iTunes catalogs, you’ll find a good few professional (and myriads of semi-professional) healthcare and wellness mobile apps. 

Some of those mobile apps can synchronize with wearables, such as pulsometers or fitness trackers, to use data collected through the sensors placed on your body to report or analyze your health conditions, such as pulse, body temperature, blood pressure, and other metrics.

TATEEDA GLOBAL, for example, has recently created an iOS/Android tablet application that provides physicians with instant access to ECG data and reports generated by devices with superior arrhythmia detection. 

If you have healthcare challenges that a mobile app can resolve, you can hire us to undertake full-cycle custom healthcare app development for you.

5. Social Determinants of Health Gain Value

When making risk assessments and compiling disease statistics, healthcare systems mainly focus on factors within their area of expertise: quality and affordability of medical services. Still, those factors are only the tip of the iceberg. Many other less apparent factors affect patients before they experience symptoms and turn to clinicians. 

Initially, health issues emerge due to reasons other than lack of treatment. Their roots go deeper; to demographic, environmental, and socioeconomic areas, which are rarely considered in the framework of traditional clinical diagnostics. 

Medical institutions mainly manage symptoms and provide recommendations on lifestyle changes, influencing treatment outcomes by as low as 10%-20%. At the same time, non-medical factors predetermine health outcomes by 80%-90%. These factors are called the social determinants of health (SDOH). 

In 2023, healthcare providers will approach SDOH with greater attention than ever before and start to evaluate patients’ medical histories more comprehensively, taking into consideration factors that remained unattended in previous years. 

6. Smart Implants

In 2023, more implant-related choices and technologies will enter the healthcare market in the United States and worldwide. This promises exceptionally higher efficiency of regenerative medicine, patient rehabilitation, and a cure for many types of disabilities that have previously been considered incurable. 

7. Integration of Healthcare Systems with Big Data and Data Silos

The amount of healthcare data accumulated (including patient records, DICOM files, and medical IoT solutions) and the number of data sources used by healthcare organizations will explode rapidly. Medical service providers will look for modern platforms, including data fabrics, to combine and manage huge volumes of structured and distributed data. 

8. Payer-Provider Bonds Will Strengthen to the Patient’s Benefit

One of the trends in healthcare IT that shows great promise. It is not uncommon for healthcare providers and payers to have conflicting interests. When both parties adopt categorical stances, the quality of their joint work suffers. As a result, patients do not receive the services they require. They pay more, wait longer, and are often treated poorly. 

Providers and payers need to adopt a value-oriented approach and strive for joint achievements rather than personal gains. All need to recognize that they have the same objective, and if either party bears losses, it alienates them from the end goal – delivery of upscale medical services to citizens.

9. Universal Adoption of Telehealth

The broad diversity, universality, and increase in digitized communication channels have begun to affect the healthcare industry. Telehealth has emerged as a new means of transmitting medical information. It involves using the Internet, videoconferencing, streaming services, and other communication technologies for the remote provision of healthcare services. Telehealth also encompasses long-distance education for patients and medical specialists.

In 2021, telehealth has gained universal recognition and become standard practice. Advanced clinics are already virtually consulting their patients. This type of communication will gain absolute regulatory approval and displace traditional in-house consultations in the coming years. 

10. VR, Augmented, and Mixed Reality in Healthcare

One of the latest trends in healthcare information technology: Computer-generated or augmented reality promises tremendous improvements to medical diagnosis and education. 

Augmented Medical Education and Decision-making

With virtual reality solutions, a person is placed in computer-rendered or fully simulated surroundings. This can help medical students to feel integrated with virtual situations and locations, similar to what they may face in reality, and practice their skills without visiting hospitals or dealing with actual patients.

With augmented reality solutions, a computer-rendered layer of additional information or virtual objects is added to the real world. Students or care providers can use augmented reality to access information and reports while working with patients or without leaving their current operations, in a hands-free mode, via voice command, or have supportive data appear automatically.   


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Modern Communication Technology That is Here to Help Your Health

Modern Communication Technology That is Here to Help Your Health | Healthcare and Technology news |

After the last few years of a global pandemic, and the resulting pressure that is being put on many care providers, health is something on the forefront of most people’s minds today. Whether you are a health worker or dealing with an illness yourself, you know just how vital communication is to the success of treatments and the dealing of ailments. Interestingly, the health restrictions of the pandemic, while slowing down certain aspects of health care, also motivated many providers to think outside the box, to see how they could improve their facilities in order to keep in touch with patients while also keeping them safe. As in many industries, necessity was the mother of invention.

The health care field adopted various innovative ways to hold appointments and consultations, keep open the lines of communication with their patients, and support ones through their treatments and therapies. Latest technologies with their advanced capabilities are proving to be an invaluable lifeline in the field of health care. From medical answering services to video conferencing consultation appointments, technology has transformed the medical field in more ways than one. In this article, we will take a look at the various ways that technology is helping to connect patients to health care they need.


Primary Care is Going Virtual

If you have needed to have advice from a doctor over the last two and half years, you’ve likely been on the receiving end of a virtual doctor’s appointment. While initially this was done out of necessity for the safety of staff and patients during the pandemic, it seems like this method of healthcare is here to stay. In some cases, patients actually prefer a virtual appointment, due to the convenience and speed at which you can receive the help and advice you need. While also enhancing the experience for the patient, virtual care also is a lot cheaper to operate, reducing costs and improving the work environment for health professionals too. Many experts and organisations agree that virtual care is the future.


Checking Patients from Afar with RPM

RPM, or remote patient monitoring allows patients to keep track of their biometric data at home. This technology is even part of some smart watches that are commonplace today. Recently, the FDA approved a pill that contains a digital sensor in order to track whether patients have taken their medication, the data of which is sent directly to their doctor. RPM is saving lives, becoming a valuable tool in the treatment and monitoring of serious health problems with the potential to become useful in all variations of both interventional and preventative care. RPM allows both patients and doctors to gain insightful data about their everyday health which enables them to make informed decisions about their treatment moving forward.


Making Treatments More Specific with Precision Medicine

In general, medications are created with standard dosages yet every body reacts to medication differently, meaning that these pre-set dosages are not what every individual needs. Precision medicines, also known as personalised medicine, throws “standard” out of the window by tailoring medication to the patient by analysing genetic, environmental and lifestyle factors that can affect the success of a particular medicine. Many pharmaceutical companies today are using artificial intelligence to analyse a patient’s data to design medicine specifically for them, based on predictions as to how people may react to the treatment for diseases that they don’t even know they have yet! This empowers physicians to be able to treat patients as unique individuals, prescribing medication that is bespoke for them and their specific needs. This greatly improves the experience for the patient and reduces the waste created by medications that are discarded because they are not achieving the desired results.


Supporting Patients Through their Care Journey

A patient’s journey of seeking medical care is not an easy one. From the moment symptoms start, there’s either a process of denial or anxious overthought. We’ve all been guilty of googling our symptoms, but we often find this turns into a rabbit hole of worry and worse case scenarios. Now that primary care is turning digital, patients can access reliable, quality information approved by experts. They can logically analyse their symptoms and seek personal recommendations, reducing a lot of the stress that typically incurred with online diagnosis. Virtual consolations can be booked with a professional care provider and even the follow up can be made easier with communication technology. Patients can stay connected to their care provider to ensure the journey to health is kept running smoothly. There is even innovations that are bringing virtual health care to our smart TVs, as Samsung recently announced a platform for patients to access their doctor from the comfort of their sofa.


The Future is Digital

In this day in age, it’s critical that people can access medical care quickly and in an affordable way. Not everyone has the circumstances to leave their home, or their workplace, to wait in quiet waiting rooms in order to attend lengthy appointments that result in an astronomical bill on the way out. Technology is influencing massive innovations that are transforming the way that doctors can help their patients, and that patients can get the help they need. Most likely, as in a lot of industries after the pandemic, health care will follow a hybrid model with both virtual and in person care. This will help to alleviate some of the pressure currently on the health care system as well as the expense. More and more people are feeling comfortable using technology to assist their health, as the downloads of medical apps shot up by 65 per cent in 2020. Clearly, the future is digital and while it might’ve felt uncomfortable at first, both health care providers and patients alike are seeing the benefits to virtual medical assistance. Innovations in communication technology have vastly changed and improved the way that health care is both received and delivered, allowing providers to focus on their patients’ needs and ultimately leading to better outcomes.

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How are AI and ML shaping the future of healthcare? 

How are AI and ML shaping the future of healthcare?  | Healthcare and Technology news |

With Artificial Intelligence (AI) and Machine Learning (ML), the healthcare industry is continuing to undergo a transformation.

Valued at US$10.4bn last year, the global artificial intelligence (AI) in healthcare market is expected to continue to grow at a compound annual growth rate (CAGR) of 38.4% from 2022 to 2030. 

And with breakthroughs such as a report that AI could be used to identify conditions such as Parkinson’s disease years before the appearance of physical symptoms, there appears to be a healthy future for the relationship between technology and medicine.

AI model that analyses breathing could detect Parkinson’s

Researchers at MIT have developed an artificial intelligence model that can detect Parkinson’s just from reading a person’s breathing patterns while they are sleeping.

Parkinson’s disease is hard to diagnose, researchers say, because it relies primarily on the appearance of motor symptoms, such as tremors, stiffness, and slowness, which can often appear several years after the disease onset.

But Dina Katabi, an MIT electrical engineering and computer science professor, and her team have now developed an AL model that can detect Parkinson’s from a person’s breathing patterns, a press release said.


Neural network uses Wi-Fi technology to monitor health

The tool in question is a neural network, a series of connected algorithms that mimic the way a human brain works, capable of assessing whether someone has Parkinson’s from their nocturnal breathing. 

The neural network is also able to discern the severity of someone’s Parkinson’s disease and track the progression of their disease over time. 

The MIT researchers demonstrated that the artificial intelligence assessment of Parkinson's can be done every night at home while the person is asleep and without touching their body. To do so, the team developed a device with the appearance of a home Wi-Fi router, but instead of providing internet access, the device emits radio signals, analyses their reflections off the surrounding environment, and extracts the subject’s breathing patterns without any bodily contact. The breathing signal is then fed to the neural network to assess Parkinson’s in a passive manner, and there is zero effort needed from the patient and caregiver.


AI an integral part of modern healthcare

Over the years, researchers have tried to detect Parkinson’s using cerebrospinal fluid and neuroimaging, but such methods are invasive, costly, and require access to specialised medical centres, the release said. This makes these methods unsuitable for frequent testing, which could allow for early diagnosis and continuous tracking of the disease’s progression.

And this is just one example of how AI can be used to support the healthcare industry. According to IBM, AI is quickly becoming an integral part of modern healthcare. AI algorithms and other applications powered by AI are being used to support medical professionals in clinical settings and in ongoing research.

Clinical decision support tools can help providers make decisions about treatments, medications, mental health and other patient needs by providing them with quick access to information or research that's relevant to their patient. In medical imaging, AI tools are being used to analyse CT scans, x-rays, MRIs and other images for lesions or other findings that a human radiologist might miss.

There are a lot of potential ways AI could reduce costs across the healthcare industry, IBM says. Some of the most promising opportunities include reducing medication errors, customised virtual health assistance, fraud prevention, and supporting more efficient administrative and clinical workflows.

And a survey of more than 900 health-care professionals by MIT Technology Review Insights found that health-care professionals are already using AI to improve data analysis, enable better diagnoses and treatment predictions, and free medical staff from administrative burdens.

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How Artificial Intelligence is Helping Healthcare Industry

How Artificial Intelligence is Helping Healthcare Industry | Healthcare and Technology news |

The potential for artificial intelligence in healthcare

Digital technology is moving fast, with fundamental changes to almost every aspect of daily life — including the delivery of healthcare services. In the digital era, patients expect medical to be convenient, accessible and delivered seamlessly. To find cost-effective solutions and improve patient outcomes and operational efficiency, balancing this artificial intelligence in healthcare can sounder for everyone. Artificial intelligence in healthcare is hovered to become a transformational power in the industry and it is benefiting healthcare providers and patients from AI tools.

What is artificial intelligence in healthcare?

Artificial intelligence (AI) is a useful method that can improve the speed, efficiency, and effectiveness of healthcare systems. By analyzing huge amounts of data in real time, AI can help increase clinical and nonclinical decision-making, decrease medical variability, and optimize staffing. Similarly, AI can decrease the tedious administrative task volume that usually leads to burnout among healthcare experts.

Why Use AI In Healthcare?

Medical organizations are using AI technology to inform decisions and improve experiences with data. Artificial intelligence in healthcare is changing the way treatment is being provided. Healthcare organizations have gathered extensive data sets in the form of health records and images, population data claims data and clinical trial data. AI technologies are well fitted to examine this data and uncover ways and insights that humans could not find on their own. With profound learning from AI, clinics & hospitals can employ algorithms to help them make better business and clinical decisions and enhance the quality of the experiences they deliver.

Benefits of Artificial Intelligence in Healthcare

AI has the capability to examine big data sets – pulling together patient insights and leading to predictive analysis. Promptly gathering patient insights helps the healthcare ecosystem discover key objectives of patient care that require enhancement. There are three key benefits of artificial intelligence in healthcare.

User-centric experiences

Utilizing immense datasets and machine learning, medical practitioners can find insights quickly and more accurately with AI, allowing improved satisfaction both internally and with those they help.

Linking disparate medical data

Healthcare data is usually fragmented and in different formats. By using AI technologies, healthcare can connect disparate data to get a more concise view of the individuals behind the data.

Enhancing efficiency in operations

AI technologies can help healthcare organizations make the most of their data, assets, and resources, improving efficiency and increasing the performance of operational workflows, processes, and financial operations by analyzing data patterns.

9 ways AI is transforming the healthcare industry

Here are nine ways in which AI technologies are accelerating the digital transformation of healthcare and artificial intelligence solution companies for the healthcare industry are helping medical professionals in business continuity.

Enhances Accuracy

Artificial intelligence (AI) can increase the information accuracy that medical experts receive so they can easily prioritize their time, empowering them to concentrate on patient care.

Elevates Interventional Insights

One of the most advantageous applications of AI in healthcare is its integration into diagnostic imaging analysis. By using artificial intelligence in healthcare to examine images collected during a scan, doctors can easily identify the problem. It works by scanning every visual frame of the procedure in real-time and alerting doctors to the presence of lesions — including small, flat polyps that can easily go hidden by the human eye.

Creating The Future Radiology Tools

Radiological pictures acquired by MRI machines, CT scanners, and x-rays offer non-invasive visibility into the internal workings of the human body. But numerous diagnostic methods still depend on physical tissue samples got through biopsies, which have risks including, infection.
Artificial intelligence in healthcare will allow the next generation of radiology tools that are precise and detailed enough to replace the need for tissue samples.

Training and Education

Technology advancements are making constant transformations in the delivery of healthcare services. Healthcare providers must pursue new training and education opportunities to adjust to this quickly evolving landscape. AI supports these measures by revolutionizing the capture, storage, and analysis of surgical video.

Prioritizes Patient Care

Prioritizing patient care for most importantly sick patients is one of the keys to providing equitable, accessible healthcare. Software Powered by AI can help healthcare with decision-making, assuring that no patient falls through the cracks.

Promotes Equity In The Healthcare Industry

By making algorithms from data sets that recall various patient populations, AI can help decrease the bias that usually penetrates the healthcare ecosystem and makes barriers.

Health Monitoring Through AI Devices

Every consumer now has access to devices with sensors that can gather important data about their health condition. From smartphones with step trackers to wearables heartbeat trackers, an increasing proportion of health-related data is generated on the go. Artificial intelligence (AI) will play a key role in extracting insights from this large and varied treasure data trove.

Fetching Intelligence To Medical Devices

Smart devices in healthcare are important for monitoring patients in the ICU and other places. Using artificial intelligence to increase the ability to determine deterioration, indicate that sepsis is taking hold, or sense the development of the complications can greatly enhance outcomes and may decrease costs related to hospital-acquired condition penalties.

Decreasing The Burdens Of Electronic Health Record Use

Artificial intelligence (AI) may also help to process routine demands from the inbox, like prescription refills and result from notifications. It may also support prioritizing tasks that truly require the doctor’s attention. It makes it easy for users to work through their to-do lists.

The Bottom Line

Leveraging AI for healthcare decision support, risk scoring, and early alerting is one of the most advantageous aspects of development for this revolutionary approach to data analysis. AI-powered solutions have made small steps towards addressing key problems but still have yet to achieve a meaningful overall impact on the healthcare industry globally. So, without skipping out on the technology, reach out to Medical IT. Services for AI-based healthcare solutions to ease your daily operations and stand ahead of your competition.

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Advanced technology must fit into the ‘Quadruple Aim’ quest

Advanced technology must fit into the ‘Quadruple Aim’ quest | Healthcare and Technology news |

The judicious use of technology is expected to provide important assistance to healthcare organizations, both in increasing efficiency and in advancing care delivery.

For example, certain advanced computing technologies, especially artificial intelligence, will support personalized medicine and medical research. But new forms of technology also will help CEOs of health organizations to achieve important aspects of the “Quadruple Aim,” particularly in better engaging patients in their own care. The Quadruple Aim a framework to optimize healthcare system performance by reducing costs, improving population health, patient experience and healthcare team well-being.

Healthcare organizations generally are in the early stages of the journey toward achieving digital transformation, according to leaders of several healthcare information technology and services companies interviewed by Health Data Management.

The companies spotlighted in the interviews are the highest performing firms in healthcare as recognized by the annual Best of KLAS recognition program, selected by the consultancy because of recognition from customers for their responsiveness to clients, the quality of their products and their knowledge of the industry. These firms, featured in a new series of insights from Health Data Management, Beyond the Rankings, offer a range of products and services, including electronic health records, enterprise resource planning, artificial intelligence, consulting services and more.

The perspectives of these company leaders illustrate how technology can support providers’ evolving healthcare delivery and the key challenges CEOs must address.

Personalized medicine

Many of the health IT company leaders interviewed say technology will give clinicians better access to more precise medical information, including genomics, and that will help them to identify the best possible treatments for diseases.

“Genomics will be coming more and more into the EHR data, and genomics together (with other clinical data) can do some wonderful (things in the) future there, says Judy Faulkner, CEO of Epic Systems Corp. The ability for us to put the data together and get a lot more evidence-based decisions is wonderful.” 

The healthcare industry needs to take advantage of the patient data it’s collecting. For example, Epic is enabling its data to be used for research, with initiatives being published on its Epic Research non-profit website.

Artificial intelligence can do more than inform clinical decision making, says Andrew Eye, CEO of, which offers a healthcare data science platform. By offering clinicians advanced computing capabilities, “how much further can we extend their reach? How can we help them work smarter with their patient populations?” he asks. “That's rethinking the whole beast of healthcare."


AI has potential to improve efficiency, but it also can assist provider organizations’ CEOs in redesigning care, Eye contends. “Let's go back to the drawing board and figure out how we make (healthcare organizations) more effective.”

Personalization of care means treating patients when and where they want to be treated. Technology can help extend a provider’s reach into a patient’s home, where they can be assessed through remote monitoring, says Jim Costanzo, CEO of Nordic Consulting Partners. “When we talk about the future of healthcare, we could talk about diagnostics being remote and in your home,” he says.

Improving the personalization of care requires improving interoperability, and healthcare CEOs need to take the lead in pushing their organizations forward, Costanzo says. “Without the interoperability – without the single view of the patient – we're not delivering the best care possible,” he stresses.

Artificial intelligence and automation

AI – which has been overhyped in recent years – now appears ready to make a contribution to healthcare. Healthcare organizations also will need to determine how to better incorporate AI into care delivery.

More healthcare CEOs are anticipating that AI needs to play a larger role in their organizations, and they’re closely watching current developments in the technology, says Eye of ClosedLoop.

“People are realizing that there's going to be a next ‘internet’; there's going to be a next wave of technology that is so impactful that it actually drives totally new business models,” he contends. “Artificial intelligence is that emerging major technology of our generation, and so that's driving these board-level conversations about how do we do more with fewer resources.”

Beyond just AI, more healthcare organizations need to take advantage of the capabilities of computing to become more efficient, contends David Sides, CEO and president of NextGen Healthcare. 

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Providence virtually monitors thousands of COVID-19 patients. Here are 3 lessons learned on scaling up the tech

Providence virtually monitors thousands of COVID-19 patients. Here are 3 lessons learned on scaling up the tech | Healthcare and Technology news |

At Providence, health system leaders recognized the need to prepare for a surge, and an important part of their plan was to keep hospital beds open for patients with severe viral illness. The organization, which operates hospitals in Alaska, Oregon, Montana, California, Washington, and Texas, developed a patient self-monitoring program for COVID-19 patients who are well enough to recover at home.


In the spring of 2020, Providence had used the remote monitoring platform for 700 COVID and non-COVID patients. As of Feb. 16, 2021, the health system had remotely monitored more than 16,000 patients.

Clinical leaders at the 51-hospital health system made several key strategic decisions to quickly scale up its virtual monitoring program to help keep hospital ICUs from being overwhelmed.

Quickly deploying digital tools

Providence treated patients located in Seattle, which was an epicenter at the beginning of the pandemic and had the first COVID-19 patient in the Pacific Northwest. Building an inventory of 5,000 thermometers and pulse oximeters early on gave Providence a headstart in ramping up its ability to distribute them during the health crisis to patients being monitored at home, according to Sherene Schlegel, executive director of telehealth clinical operations at Providence.



When patients who test positive for COVID-19 are discharged from the emergency room or the inpatient environment, they go home with a thermometer and pulse oximeter, Schlegel said. Nurses then educate the patients on how to take their vital signs and make sure their thermometers and pulse oximeters are working.

“The majority of our admissions were a hands-on physical assessment for enrollment,” Schlegel told Fierce Healthcare. She added that before patients participate in remote monitoring, Providence wanted to verify that patients were well enough to stay out of the hospital.

“We didn't want to have someone coming to our COVID home monitoring program when they really weren't medically stable to be at home,” Schlegel said.


The program was deployed across more than 80 hospitals, urgent care and ambulatory settings in Washington, Montana, Alaska, Oregon, California and Texas.

Working with tech partners

“We partnered with folks from Twistle to develop an automated process to be able to monitor patients at scale,” Schlegel said.

During the course of the pandemic, Providence ramped up the number of patients it could serve in the remote monitoring program from a nurse monitoring 15 to 20 patients in the first week to a nurse now tracking 85 to 100 patients per shift.


“That was really key for us to be able to scale and help so many different hospitals and urgent care centers to help manage some of the COVID patients,” Schlegel said.

Using Twistle, patients send text messages three times a day to share their vital signs. Nurses can send a link to video chat with the patient and use an online dashboard to monitor vitals collected from pulse oximeters and thermometers.

“There's a scoring mechanism with each one of these answers that then populates it into a red, yellow or green,” Schlegel explained. If patients are scored a red or yellow, that means a nurse is holding a video call with a patient and they may require a higher level of care, she said.  

Patients marked with a severe condition, for example, may have a respiratory rate greater than 30 or an oxygen saturation of 88% or less, Schlegel said.

Geisinger Health System offers a similar remote monitoring program that uses an oximeter and thermometer to let patients send data to care providers.

The Twistle program lets patients self-monitor symptoms and providers can keep track of positive or presumptive COVID-19 cases.

Making it simple for patients and providers

At Providence, the remote monitoring program has an 87% compliance rate from patients, meaning they respond to the text messages from nurses. The health system credits the compliance to the fact that patients don’t have to download an app or log in to a portal.

Patients also find the technology easy to use, providing a net promoter score of 70, which is considered a high score for healthcare technology and patient communication solutions, Providence executive said.

The Twistle remote monitoring program also integrates with Epic’s electronic health record (EHR) software which helps providers’ workflow.

Providence plans to continue the COVID-19 remote monitoring program through the end of the public health emergency and then “sunset it,” Schlegel said. However, the health system plans to continue with virtual monitoring in a different form.

“It's worked very well during the public health emergency and allowed us to get up and running and quickly see a large number of patients,” she said. “But for traditional remote patient monitoring, we're going to be working on different models, different platforms to be able to meet the needs of the chronic care conditions for patient monitoring.”

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How Apple is empowering people with their health information

How Apple is empowering people with their health information | Healthcare and Technology news |

Today Apple shared a new report that offers a snapshot of the ways Apple products are empowering people to be at the center of their health, and acting as an intelligent guardian for their health and safety. Users, developers, medical institutions, and health organizations around the world are using Apple devices, features, and APIs to break down barriers between people and their health information, all while keeping privacy in mind.
Apple’s efforts to advance health primarily fall into two categories, which are detailed in two corresponding sections of the report. The first section describes Apple’s focus on personal health and fitness features on Apple Watch and iPhone that offer actionable, science-based insights and help protect users’ health and safety. The second section shares Apple’s work with the medical community to support research and care. Both sections — along with an Extensions and Spotlights section at the report’s end — include a variety of examples of third-party developers, health institutions, and organizations innovating with Apple technology.
“We believe passionately that technology can play a role in improving health outcomes and encouraging people to live a healthier day, and we are excited about the many ways users are benefiting from our health and fitness features, and by the ways third-party developers, institutions, and organizations are using Apple technology to advance health and science,” said Jeff Williams, Apple’s chief operating officer. “Our vision for the future is to continue to create science-based technology that equips people with even more information and acts as an intelligent guardian for their health, so they’re no longer passengers on their own health journey. Instead, we want people to be firmly in the driver’s seat with meaningful, actionable insights.”
A woman holding iPhone does a lunge in this illustration.

Empowering Users on Their Personal Health Journeys

Since the release of the Health app in 2014 and Apple Watch in 2015, Apple has introduced a wide array of innovative health and fitness features, with the goal to provide users with easy-to-understand, meaningful insights so they can be empowered to live a healthier life.

The report outlines the four pillars of Apple’s health and fitness features:


1) giving users a central and secure place to store and view their health data in the Health app,

2) offering features that enable Apple Watch to act as an intelligent guardian for users’ health,

3) offering features that help users improve their everyday health and fitness for better health outcomes, and

4) fueling innovative third-party health and fitness apps with developer tools.

With the release of iOS 16 and watchOS 9 this fall, Apple Watch and iPhone will offer features that focus on 17 areas of health and fitness, from heart health and sleep to mobility and women’s health, and more. Over the years, customers of all ages have shared how these health and fitness features have, in their own words, changed their lives. Several share their stories in the report, including customers who have discovered serious heart conditions, received emergency assistance after a fall, or dramatically improved their health through daily activity.
A woman holding iPhone does a lunge in this illustration.
Users can now store over 150 different types of health data from Apple Watch, iPhone, and connected third-party apps and devices in one central view in the Health app, in addition to available health records data from connected institutions in the US, UK, and Canada. There are now tens of thousands of apps on the App Store that use the HealthKit API, which allows developers to incorporate data users choose to share from the Health app to offer innovative health and fitness experiences, with rigorous privacy and data security protocols. The report spotlights examples of globally popular HealthKit-enabled apps like Nike Run Club, Calm, and WeightWatchers, plus an increasing number of HealthKit-enabled apps — including Qardio heart health and Withings Health Mate — that use connected accessories to allow users to track and monitor even more aspects of their health.

Supporting the Health Ecosystem by Collaborating with the Medical Community

Apple believes the strongest health innovations are possible only through direct collaboration with the medical community, and the report describes four categories of this collaboration:


1) building tools to enable researchers to make new scientific discoveries,

2) helping strengthen the physician-patient relationship with meaningful data,

3) collaborating with health organizations to promote healthy lifestyles at large scale, and

4) supporting public health and government initiatives.

The ResearchKit framework gives researchers the opportunity to recruit study participants from a large user base of iPhone and Apple Watch users, and for participants to choose to share health data to help advance science. Through the Research app, Apple has collaborated with Harvard T.H. Chan School of Public Health and the National Institute of Environmental Health Sciences, Brigham and Women’s Hospital and the American Heart Association, and the University of Michigan and World Health Organization to offer users across the US the opportunity to participate in three first-of-their-kind research studies: the Apple Women’s Health Study, the Apple Heart and Movement Study, and the Apple Hearing Study. Early learnings from the studies appear in the report, as well as information on other studies Apple has supported, like the Heart Failure Study with University Health Network and the Digital Mental Health Study with UCLA.
Health Records on iPhone in the Health app, along with apps and devices developed by third parties using Apple developer tools, help strengthen physician-patient relationships with meaningful data. Health Records is now available to patients at over 800 institutions across over 12,000 locations, making it easy for patients to see their available medical data from multiple providers in the Health app whenever they choose. Research has shown that connecting patients with their care teams remotely results in better outcomes with the Corrie Health app, UVA Health care at home programs, and the US Department of Veterans Affairs loaning Apple devices to veterans to connect them with their VA healthcare services. Care teams are better able to help patients with chronic conditions at Ochsner Health System and NHS Sunderland, and remote monitoring is reducing the cost and length of stays in the neonatal intensive care units at Odense University Hospital and the University of Virginia Children’s Hospital, where premature babies can come home with their parents but stay connected to care teams remotely.
An iPhone screen shows a user’s view of the Apple Women’s Health Study.
An iPhone screen shows a user’s view of the Apple Heart & Movement Study.
An iPhone screen shows a user’s view of the Apple Hearing Study.
Health organizations and companies around the world — including Paceline in the US; Vitality Active Rewards in the US, the UK, South Africa, and Australia; and LumiHealth in Singapore — have collaborated with Apple to integrate Apple Watch into their wellness programs. There are currently 55 programs running in 17 countries with over a million users taking part in an incentive program leveraging Apple Watch. These programs have been successful in increasing participants’ physical activity levels and uptake of health behaviors, such as aiming for more regular sleep patterns, focusing on mindfulness, and swapping in healthier food options.
Finally, the report highlights Apple’s partnerships with clinicians and local governments on unique ways to support their crucial work to promote public health, including building apps and features during the COVID-19 health crisis.

Grounded in Science and Designed Around Privacy

All of Apple’s health and fitness features have been developed with two overarching principles:

Rigorous scientific validation processes: Apple’s in-house clinicians are deeply involved in the product development process, and work hand-in-hand with engineers and product designers. This, combined with collaboration with experts from leading research institutions, ensures that products and features are grounded in science and user-friendly.

Privacy at the center: Privacy is a core value at Apple, and data privacy is critical for sensitive health data. Apple’s health and fitness features put users’ privacy at the center, and provide users with protections, including transparency and control. When iPhone is locked with a passcode, Touch ID, or Face ID, all health and fitness data in the Health app — other than Medical ID — is encrypted, and any health data synced to iCloud is encrypted both in transit and on Apple servers. And if a user has a recent version of watchOS and iOS with the default two-factor authentication and a passcode, their health and activity data will be stored in a way that Apple can’t read it. Health app data is never shared with any third party without the user’s explicit permission, and if users decide to share their health data, the Health app provides users with granular control over the types of data they share and who they share it with. They can review and manage permissions at any time.

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New technology may help detect lung cancer earlier

New technology may help detect lung cancer earlier | Healthcare and Technology news |

Lung cancer is the leading cause of cancer death worldwideTrusted Source and the third most commonTrusted Source cancer type in the United States.

The disease is often treatable when diagnosed in its early stages. So, experts are constantly working on new ways to detect lung cancer as early as possible so that people can receive prompt treatment.

While anyone can develop lung cancer, some risk factorsTrusted Source such as smoking and exposure to second-hand smoke increase a person’s risk.

The treatment for lung cancer will depend on the type of lung cancerTrusted Source and the stage of the disease when detected. Doctors may utilize chemotherapy, surgery, immunotherapy, and radiation as part of treatment.

Detecting lung cancer at the cellular level

A recent studyTrusted Source published in Nature Communications focuses on a new method for detecting lung cancer at the cellular level, which could lead to earlier and more effective treatments.

Researchers say they examined a method to detect cancer at a more microscopic level than a typical biopsy and tissue analysis, specifically in lung cancer nodules. Their research used mice models, human tissue samples, and cell cultures.

They reported that the method could differentiate between healthy cells and cancerous cells at the single-cell level. They also found that it could detect cancerous cells in tumors less than two centimeters wide.

The detection method is beneficial for lung cancer because the lung cancer tissue often has non-cancerous components that can hide detection.


Study limitations and areas for further research


While demonstrating a potentially effective cancer detection method, researchers noted their study has several limitations.

First of all, further testing should be done during typical patient biopsies because it is unclear how aspects of the human body would impact the method’s effectiveness.

The method is limited due to components of its nature, and the analysis did include some false positives.

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