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New strategies for analytics, patient engagement, telehealth discovered since the pandemic response has reshaped health system priorities.

New strategies for analytics, patient engagement, telehealth discovered since the pandemic response has reshaped health system priorities. | healthcare technology | Scoop.it

In this seventh installment in Healthcare IT News' feature series, Health IT Lessons Learned During the COVID-19 Era, A CIO, a CMIO and two IT directors offer readers what they've discovered since the pandemic response has reshaped health system priorities. They share what they've learned during the past year and discuss how they're applying these lessons to improve their organizations.

 

The increased importance of data and analytics

Overall, the COVID-19 pandemic has catapulted the importance of data analytics and data in general,  For example, the data analytics team at Sanford Health designed an algorithm to sort and pull relevant data from the records of more than 100,000 patients who had been diagnosed with COVID-19, identifying those at highest risk of complications from the virus.

 

More, more, more patient engagement

For Averill of St. Luke's Regional Healthcare System, the impact of patient engagement using patient portal communication, virtual visits and digital appointment-scheduling provided a big lesson.

They also expanded the amount of clinical information sent in real time to the portal since delivering in-person results wasn't possible.

 

When telehealth is not up to par

One major lesson Helio Health learned last year was that its telehealth presence was not up to par. On the other hand, the health system also learned that its teams could implement a telehealth presence fairly quickly. They had to pivot quickly to be certain their patients' critical care would not be interrupted by restrictions put in place as a result of COVID-19

 

Leveraging technology to further strategy

Rollins of Freeman Health System said 2020 was a great year for health IT for many reasons. Many important initiatives were pushed forward and implemented in attempts to react to the ever-changing needs of our customers.

 

Keeping strategies dynamic

Another lesson Rollins has learned over the past year is that health IT and organizational strategies must leave room to adapt to the environment.

 

Streamlined and efficient decision-making

On another front, the pandemic has underscored the importance of having a structured mechanism and system in place for streamlined and efficient decision-making,

 

Standardized processes and equipment

Another lesson Helio Health has learned is the need for standardization of equipment and processes,.

"The vast majority of our computers were desktop PCs," he noted. "With a grant from the FCC, we were able to standardize our outpatient facilities with Microsoft laptops, which allow us to work and provide support from anywhere. Users are able to come and go, from remote work to in-person work, easily. With a recent merger between Helio Health and two other organizations, much of the hardware from the other organizations was dissimilar to Helio Health's standards.

 

read the details at https://www.healthcareitnews.com/news/it-execs-talk-new-strategies-analytics-patient-engagement-telehealth-and-more

 

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Harnessing data to improve patient outcomes

Harnessing data to improve patient outcomes | healthcare technology | Scoop.it

As data and analytics are increasingly leveraged in various aspects of the healthcare system, some companies are  making use of such capabilities to help clinicians make the best decisions for patients.

 

One such company is naviHealth.  Based in Brentwood, Tennessee, naviHealth provides both payers and providers with post-acute care management expertise. Its nH Predict tool allows clinicians to better predict a patient’s outcomes in order to craft a personalized post-acute care plan.

 

Using NaviHealths nH Predict tool, clinicians are better able to predict a patient's outcomes and generate a personalized post-acute care plan.

 

The result of the tool is a simple outcome report that is generated at the beginning of the patient’s stay in a facility or hospital. The report breaks down the patient’s basic information as well as how they’re doing in a variety of categories.

 

For instance, nH Predict outlines the individual’s gender, date of birth and admission date. It also includes their primary diagnostic group (such as COPD) and their usual living setting (like at home alone or in an assisted living facility).

 

Finally, the outcome report provides a score for a few of the patient’s functions based on the data of similar patients. It gives a score on the patient’s basic mobility (such as wheelchair skills or ability to take the stairs); daily activity (like bathing and dressing); and applied cognition (including memory and communication).

 

Additionally, the report creates a total average score for the patient based on their mobility, activity and cognition scores.

 

read the complete story at https://medcitynews.com/2018/10/navihealth-data-patient-outcomes/

 

nrip's insight:

Nowadays, healthcare data is increasingly being analyzed and complex algorithms created to help various aspects of the healthcare ecosystem.

 

This technique where some companies are  making use of such capabilities to help clinicians make the best decisions for patients, is also not new, and there are startups and enthusiasts working on building self learning algorithms to modify clinical pathways to create better patient outcomes in India, Singapore, Scandanavia. If you are working on something similar, please drop me a note. 

 

Beyond the hype, it will be interesting to see if the hypothesized benefits actually translate into reality. 

 

Plus91's R&D has stayed away from improving/modifying/changing medical care plans but instead we built self learning models both for early detection of diseases, as well as for early prediction of epidemics, and while we have been very successful with demonstrating epidemic prediction, and actually preventing it in 2 cases already, the same success is unfortunately not achieved yet in disease detection. 

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Microsoft Excel for Health Analytics

Microsoft Excel is like the swiss army knife for health analytics. It's a familiar and effective tool for surfacing and using almost any type of data from any sources. Learn how health organizations are using Excel as part of their overall BI strategy.

Barbara Letscher's curator insight, December 2, 2013 6:05 AM

6 minutes pour en savoir plus !

 

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Use of EHRs to Gather Real-World Data on Pharmaceuticals

Use of EHRs to Gather Real-World Data on Pharmaceuticals | healthcare technology | Scoop.it

Using electronic health records (EHRs) to create a learning healthcare system, say the authors, can enable researchers to generate new knowledge that will accrue benefits to future generations of patients.

 

Real-world data are increasingly viewed as a crucial factor in the eventual acceptance of biosimilar drugs, and indeed, current real-world evidence points to the safety and efficacy of these products in the marketplace.

 

In a recent paper, officials from the European Medicines Agency, the Organisation for Economic Cooperation, and other European government entities explained that such data can help make decisions about pharmaceuticals—from development to reimbursement—more efficient.

 

The authors called for international cooperation on a learning healthcare system that will better harness these data. 

The authors note that the expense of prospective data generation in a research setting is high, limiting the number of research questions that can be answered in a randomized controlled trial (RCT).

 

RCTs are rarely large enough to detect infrequent outcomes, nor are they long enough to determine long-term outcomes. 

Using electronic health records (EHRs) to create a learning healthcare system, say the authors, can enable researchers to generate new knowledge that will accrue benefits to future generations of patients.

 

However, current inadequacies of EHRs present a “technical bottleneck” to the objective of gathering real-world data.  

The paper’s authors propose that governments establish and implement national health data governance frameworks to encourage the use of personal health data to serve the public interest.

 

The collection of data must translate into the production of useful evidence.

A coordinated and international effort will be key to speed the implementation of a true learning healthcare system for global benefit. 

 

read the news article at https://www.centerforbiosimilars.com/news/european-officials-promote-use-of-ehrs-to-gather-real-world-data-on-pharmaceuticals--

nrip's insight:

I am currently writing an Ebook on "Use of EHRs for Public Health" which covers this very concept. Please comment in the section below or tweet us at @plus91 (you can tweet to @nrip to reach me directly) your thoughts on EHR usage, and possible uses of EHR data for the benefit of the public healthcare system

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Imaging technology could unlock mysteries of a childhood disease: respiratory syncytial virus (RSV)

Imaging technology could unlock mysteries of a childhood disease: respiratory syncytial virus (RSV) | healthcare technology | Scoop.it

By the time they're two, most children have had respiratory syncytial virus (RSV) and suffered symptoms no worse than a bad cold. But for some children, especially premature babies and those with underlying health conditions, RSV can lead to pneumonia and bronchitis - which can require hospitalization and have long-term consequences.


A new technique for studying the structure of the RSV virion and the activity of RSV in living cells could help researchers unlock the secrets of the virus, including how it enters cells, how it replicates, how many genomes it inserts into its hosts - and perhaps why certain lung cells escape the infection relatively unscathed. That could provide scientists information they need to develop new antiviral drugs and perhaps even a vaccine to prevent severe RSV infections.


"We want to develop tools that would allow us to get at how the virus really works," said Philip Santangelo, an associate professor in the Wallace H. Coulter Department of Biomedical Engineering at Georgia Tech and Emory University. "We really need to be able to follow the infection in a single living cell without affecting how the virus infects its hosts, and this technology should allow us to do that."

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