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AI is disrupting clinical practice, so how tech is implemented matters

AI is disrupting clinical practice, so how tech is implemented matters | eHealth mHealth HealthTech innovations - Marketing Santé innovant | Scoop.it

As artificial intelligence continues to find its way into clinical workflows, the reaction of healthcare professionals runs the gamut: Some are dubious, some are overly optimistic, some are surely scared the technology could soon make their jobs obsolete.

Each, in their own way, has a valid perspective. Because so much about how AI applications work in healthcare depends on the technology, the algorithms, the quality of the data, the deftness with which the tools are integrated into care processes.

But there's little doubt that when those things are approached in the right way, AI and machine learning have a lot to offer healthcare diagnosis and decision support – even if those insights should be given the proper weight when it comes to developing treatment plans.

Still, plenty of physicians and clinicians have skepticism to spare, if not outright hostility, said Jeff Axt, project manager and systems analyst in the IT department at the Hospital for Special Care in New Britain, Connecticut.

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eHealth mHealth HealthTech innovations - Marketing Santé innovant
Digital, Apps, IoT, devices, AI / DL (...) innovations for Health and Healthcare
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After interoperability: FHIR is the gateway for AI

After interoperability: FHIR is the gateway for AI | eHealth mHealth HealthTech innovations - Marketing Santé innovant | Scoop.it
HL7’s FHIR (Fast Healthcare Interoperability Resources) is largely seen as an enabler of health data exchange, which of course it is, but executives at IBM, Google and Microsoft said it will also lay the foundation for artificial intelligence and machine learning.

“Interoperability is the cornerstone of our healthcare strategy — teaching cloud to speak the language of healthcare: HL7, FHIR, DICOM,” said Aashima Gupta, global head of healthcare and life sciences at Google Cloud, during a panel discussion here at HIMSS19 on Thursday.

Google, in addition to IBM, Microsoft, Oracle and Salesforce, signed a pledge to remove interoperability barriers back in August 2018 during the Blue Button 2.0 hackathon at the White House. And while the companies have yet to provide specific details they said it will involve cloud computing, FHIR and open APIs.

“We’re competitors in many ways but also very much aligned because without interoperability we can’t really make a change and make a difference,” said Mark Dudman, health of global product and AI development at IBM. “Right now, FHIR is taking systems that don’t interact to talk quickly. We’ve hit that first real target of getting systems to talk, but now we have to talk in volume.”

As that interoperability advances and healthcare systems begin sharing those volumes of data more regularly, it sets the stage for many of today’s biggest trends, including population health, personalized medicine, and emerging technologies such as artificial intelligence and machine learning.
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Cigna and Sentara Healthcare Join IBM's Blockchain Health Utility Network To Improve Data Sharing

Cigna and Sentara Healthcare Join IBM's Blockchain Health Utility Network To Improve Data Sharing | eHealth mHealth HealthTech innovations - Marketing Santé innovant | Scoop.it
At its core, blockchain technology is about strengthening trust in data. This can be especially valuable for businesses, as a blockchain network can serve as a digital record system that creates new ways to share and secure information. Moreover, the ability to do this in real time, while maintaining permissioned access, data ownership and governance across many disparate parties, is what makes this technology so transformative for a number of industries.

The power of data is a force driving healthcare transformation in particular. A tremendous amount of information is being collected by various entities, as wearable devices, at-home testing services and telemedicine are becoming more common.

Furthermore, global healthcare expenditures are expected to continue to rise, as spending is projected to increase at an annual rate of 5.4% between 2017-2022, from $7.724 trillion to $10.059 trillion. Healthcare service providers are now seeking digital innovation to improve financial management, customer care, and interoperability, all while creating better usage of health data.

For example, IBM has created a new blockchain-based health utility network to convene a broad ecosystem of healthcare organizations in a highly secure, shared environment. The goal is to enable organizations to build, share and deploy blockchain-based solutions that will drive digital transformation.
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Defining the digital therapeutics opportunity

Defining the digital therapeutics opportunity | eHealth mHealth HealthTech innovations - Marketing Santé innovant | Scoop.it
Once the stuff of science fiction, an emerging category of medicine is set to be increasingly influential in healthcare.

Digital therapeutics are taking their place alongside other exciting work in digital health that sees developments in areas from sensors and wearables to mobile health and telehealth to harness technology, augment and personalise healthcare and improve patient outcomes.

Within this environment, digital therapeutics form a unique subset of digital health, but are still a part of digital health, and as the sector matures, some vital work is being carried out to provide the strongest possible foundations for the category. At the forefront of this is the Digital Therapeutics Alliance, whose recent whitepaper provides a welcome shot of rigour to the sector. Here are four key takeaways from it.

• Read the article in full in pharmaphorum’s Deep Dive digital magazine
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Analysis suggests rapid expansion for 3D printed medical devices

Analysis suggests rapid expansion for 3D printed medical devices | eHealth mHealth HealthTech innovations - Marketing Santé innovant | Scoop.it
Major factors that are driving growth include increasing prevalence of chronic diseases and rising awareness regarding personal care.

With the increasing popularity of 3D printing, medical devices manufacturers are particularly focused on innovations. Substantial need for individualised yet economical medical solutions can be met through 3D printing.

Patient-specific implants are being manufactured based on CT and MRI scans provided by surgeons, which results in reduction of the overall surgical cost. This has increased the popularity of 3D printed medical devices all around the world.

The global 3D printed medical devices market is segmented based on application, technology, material type, end user and region. On the basis of application, the market has been segmented into orthopaedic implants, dental implants and cranio-maxillofacial implants. Orthopaedic implants account for a higher revenue share in global 3D printing devices as compared to others. Orthopaedic implants were estimated to be valued at nearly $170 million in 2017 and is projected to reach nearly $970 million in 2027, exhibiting a CAGR of 19.2% during the period of assessment.

Based on the material type, 3D printed medical devices market is segmented into metals and alloys, biomaterial inks and plastics. The biomaterial inks segment was estimated to be valued at nearly $65 million in 2017 and is anticipated to reach a valuation of nearly $400 million in 2027, displaying a CAGR of 20% during the period of forecast.
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Smartwatches Are Changing the Purpose of the EKG

Smartwatches Are Changing the Purpose of the EKG | eHealth mHealth HealthTech innovations - Marketing Santé innovant | Scoop.it

Think of the stereotypical representations of medicine, as they might appear on a television show: the crisp white coat, of course, and the stethoscope dangling at the ready. Syringes and intravenous lines, maybe. An X-ray or CT scan slammed theatrically into a light box.

But any medical scene is incomplete without an electrocardiogram (EKG) machine running in the background, its jagged line tracing across the screen reassuringly, or alarming to cue a dramatic threat. The EKG is the backbeat of many hospital scenes on television. Important medical things are happening here, it says.

To tap into that potent association, many private medical practices, urgent care clinics, community hospitals, technology companies, and health-care product designers use EKG imagery in their advertising. Most of those images bear little resemblance to actual EKG tracings. The spikes and bumps generated for signs or emblems (like the logo of the daytime talk show The Doctors, for example) mostly amount to arbitrary peaks and valleys. They do not reflect the output of a human heart, healthy or diseased.

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A shockingly large majority of health news shared on Facebook is fake

A shockingly large majority of health news shared on Facebook is fake | eHealth mHealth HealthTech innovations - Marketing Santé innovant | Scoop.it
Just how factually accurate are most health articles you come across? You might be savvy enough to sort Goop from the Mayo Clinic, but when it comes to traditional news outlets, you might also be surprised to learn how much false information is really out there.

Health Feedback, a bipartisan network of scientists who collectively assess the credibility of health media coverage, worked together with the Credibility Coalition to examine the 100 most popular health articles of 2018–specifically, those with the highest number of social media engagements. They studied stories from numerous well-known websites, such as Time, NPR, the Huffington Post, Daily Mail, New Scientist, CNN, and more.

Of the top 10 shared articles, scientists found that three quarters were either misleading or included some false information. Only three were considered “highly credible.” Some lacked context of the issue, exaggerated the harms of a potential threat, or overstated research findings. Many writers either twisted data or simply couldn’t properly interpret it. Others, it seems, had an agenda.

Consider a Guardian story titled “Is everything you think you know about depression wrong?” (shared 469,000 times), which was found to be “not credible and potentially harmful.” The author suggested that most cases of depression are not due to a chemical imbalance in the brain, but from a lack of fulfillment in one’s life.

Health Feedback scientists noted that The Guardian article never backs up its claims with links to original sources or research studies to support its findings.
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AI’s anatomy - toward augmented healthcare

AI’s anatomy - toward augmented healthcare | eHealth mHealth HealthTech innovations - Marketing Santé innovant | Scoop.it
Will the healthcare sector be able to unleash the power of AI to profoundly redesign medicine for the better of humankind? Let’s find out…

The possibilities that intelligent systems hold and the disruption that will be driven by them will sooner rather than later require a change in the mindset, concerning social and economic factors. While the emergence of Artificial Intelligence (AI) has started a political and economic struggle between countries over gaining AI supremacy. It has also caused a technological shift that gradually affects almost every industry. Especially, the healthcare sector is said to be influenced the most by this change. If applied correctly this technology may lead to an aspired improvement in patient care.

What sounds like a spell in the first place can be explained by two main factors. First, the revolution of AI is primarily being driven by the rapid progress in computational power as well as increased access to a huge amount of data. Secondly, when this is combined with the machine learning methods, it can be used to discover patterns and develop relationships in large data sets in a manner that humans are hardly capable of – but which is imitating human intelligence.


AI unleashing new potential

The opportunities that AI presents to the healthcare sector can be described through the following five levels and it could give birth to the concept of augmented doctors.

Monitor – First level includes AI being able to monitor patient data. MIT researchers recently came up with the idea of a wireless smart-home system that can possibly improve elderly care. Within the framework of their latest project called “RF-Pose”[1], the CSAIL developed an AI system that is able to detect radio signals behind walls caused by human bodies in order to sense their activities. According to the team, their way of using neural networks to analyze human movements and postures allows for monitoring certain diseases such as Parkinson or multiple sclerosis. This means, as a corollary, that physicians can use these insights to adjust medications for an optimal patient treatment.[2]

Preventing – The second dimension of AI in healthcare enables preventing critical health events and danger. The Berlin Start-Up xbird claims that it will “save one million lives by 2020”[3]. How? It identifies symptoms of diseases in early stages by using a combination of data collection through smartphone sensors and pattern recognition. This project, which is financed by the EU, enables physicians to improve diagnoses and decision-making in order to personalize patient treatment.

Identifying – On a third and more advanced level, AI is capable of identifying patterns and diseases. While xbird’s solution focuses on behavior and environmental impacts, KI elements [4] makes use of speech recognition to detect and diagnose cognitive disorders such as dementia. Their app records voice data and then automatically extracts and evaluates scientific metrics which helps clinicians to make more informed and professional decisions.

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Change Healthcare Unveils Claims Lifecycle Artificial Intelligence

Change Healthcare Unveils Claims Lifecycle Artificial Intelligence | eHealth mHealth HealthTech innovations - Marketing Santé innovant | Scoop.it
Change Healthcare today announced Claims Lifecycle Artificial Intelligence, a new capability being integrated into the company’s Intelligent Healthcare Network and financial solutions, to help providers and payers optimize the entire claims processing lifecycle.


Claims Lifecycle AI Overview

This Change Healthcare Claims Lifecycle AI service is trained on more than 500 million service lines making up over 205 million unique claims that touch $268 billion in charges. The service leverages the company’s Intelligent Healthcare Network data from more than 2,200 payers, 5,500 hospitals/health systems, and across 900,000 physicians. Solutions and services across the Change Healthcare portfolio are using artificial intelligence (AI) to help customers with improving payment accuracy, reducing denials, enhancing payment forecasting, and reducing administrative overhead.


Claims Lifecycle Artificial Intelligence Clients

The first three customer applications enhanced by Claims Lifecycle Artificial Intelligence are Change Healthcare’s Assurance Reimbursement Management™, Revenue Performance Advisor and Medical Network Solutions. The AI embedded in these applications helps customers predict denials, optimize claims submissions, and provide actionable recommendations that enable providers to better mitigate denials prior to claim submission. Additionally, customers using the Change Healthcare Intelligent Healthcare Network will be able to access selected AI capabilities via the Change Healthcare API Marketplace.

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AI in healthcare: Big ethical questions still need answers

AI in healthcare: Big ethical questions still need answers | eHealth mHealth HealthTech innovations - Marketing Santé innovant | Scoop.it
Seemingly overnight, artificial intelligence has found its way into every corner of healthcare, from patient-facing chatbots to imaging interpretation to advanced analytics applications.

With that sea change comes a host of ethical questions about how, where and to what extent AI and machine learning apps should be deployed. Most of them are still unanswered.

At HIMSS19 on Tuesday, a panel of healthcare and technology experts assessed this new landscape, taking stock of the big opportunities that AI can enable – while also exploring some of the "bright lines that we don't want to cross," as Microsoft Associate General Counsel Hemant Pathak put it.

AI has already done wonders for healthcare. "Even if we never move beyond the current state of the art, we have a decade of application and value to extract" from existing AI-derived datasets, said Microsoft Corporate Vice President Peter Lee.

Still, it's remarkable how fast that state of the art has matured – and continues to – establishing itself as the new normal in healthcare and beyond, he said.

"We are really still evolving very quickly in terms of core technology," said Lee.
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L'intelligence artificielle efficace pour diagnostiquer des maladies pédiatriques

L'intelligence artificielle efficace pour diagnostiquer des maladies pédiatriques | eHealth mHealth HealthTech innovations - Marketing Santé innovant | Scoop.it
Un algorithme d'intelligence artificielle s'est montré aussi efficace que des pédiatres pour diagnostiquer des maladies chez des enfants, montre une étude publiée lundi, une nouvelle prouesse pour cette technologie en passe de révolutionner le diagnostic et le rôle du médecin.

«C'est la première fois que l'intelligence artificielle parvient à imiter le raisonnement clinique d'un médecin (...) pour établir un diagnostic», a expliqué à l'AFP le Pr Kang Zhang, de l'université de Californie à San Diego.

Le programme développé par son équipe s'est «entraîné» à partir des données provenant de plus d'1,3 million de consultations de jeunes patients dans un grand centre médical pédiatrique de Canton, dans le sud de la Chine, explique l'article publié en ligne par la revue Nature Medicine.

L'expérience s'est traduite par «un niveau de pertinence très élevé» pour le diagnostic de maladies communes comme la grippe (à 94%), la varicelle (93%) ou la maladie infectieuse pieds-mains-bouche (97%), mais s'est également montré efficace pour reconnaître des maladies potentiellement mortelles telles que la méningite bactérienne (93%).
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At HIMSS, current and former government officials say industry failed to unite on interoperability

At HIMSS, current and former government officials say industry failed to unite on interoperability | eHealth mHealth HealthTech innovations - Marketing Santé innovant | Scoop.it

The public sector isn’t traditionally considered ahead of the curve, particularly when compared to the private sector. But during the opening keynote panel at HIMSS, CMS Administrator Seema Verma stressed the opposite when referencing the agency’s recently announced proposed interoperability rule, which would require government health plans and health plans sold on the federal ACA exchanges to give patients access to their health information by 2020.

“[I]n this particular instance, the industry was not doing what was important, what is needed for patients and for the healthcare system,” she said. Instead, the government had to step in and make moves to push interoperability forward.

Fellow panelist Aneesh Chopra, former U.S. CTO under Barack Obama, went into a bit more detail.

Back in 2010, Meaningful Use revolved around the idea that electronic systems had to include a summary of the patient’s record. The thinking was that since some information may not be useful after a patient leaves the hospital, it’s best to collapse it into a summary of the health experience.

“The notion at the time was that we’d set the floor,” Chopra said, noting that information like a patient’s blood pressure and medication list were part of that base level. “The presumption was there would be a catalyst for industry action and that the government would do initial work — mandate the floor — but we’d have private sector collaboration and creativity.”

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Genentech va former les chirurgiens ophtalmologues en réalité virtuelle pour son nouveau traitement de la DMLA

Genentech va former les chirurgiens ophtalmologues en réalité virtuelle pour son nouveau traitement de la DMLA | eHealth mHealth HealthTech innovations - Marketing Santé innovant | Scoop.it

Genentech, une division du géant pharmaceutique suisse Roche, conduit en ce moment un essai clinique aux Etats-Unis sur un nouveau traitement de la dégénérescence maculaire liée à l'âge (DMLA). Dans le cadre de cet essai, l'entreprise a mis au point une formation en réalité virtuelle à destination des chirurgiens ophtalmologues. Plus de 150 d'entre eux l'ont testé en 2018.

La réalité virtuelle pour former aux opérations délicates

La DMLA est une maladie cécitante qui atteint la rétine et plus spécifiquement sa zone centrale, la macula. Elle est la première cause de malvoyance en France chez les personnes âgées de plus de 50 ans, avec plus d'un million et demi de personnes atteintes par la maladie. Sa forme sévère, appelée DMLA exsudative, est caractérisée par l'apparition de vaisseaux sanguins anormaux qui provoquent des hémorragies dans les couches de la rétine.

Genentech a conçu un petit dispositif médical (de la taille d'un grain de riz) qui s'implante dans l'œil. Il diffuse en continu un médicament qui stoppe le développement de ces vaisseaux anormaux. Ce traitement est une alternative à l'administration mensuelle d'injections intravitréénnes, qui comporte une part de risque (notamment des infections). L'essai clinique a pour objectif d'obtenir son autorisation de mise sur le marché de la part de la FDA, l'autorité américaine en charge de la régulation des médicaments et dispositifs médicaux.

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Novartis prédit une transformation du secteur pharmaceutique "dans les 10 ans" grâce à la blockchain

Novartis prédit une transformation du secteur pharmaceutique "dans les 10 ans" grâce à la blockchain | eHealth mHealth HealthTech innovations - Marketing Santé innovant | Scoop.it

Alors que l'engouement pour la blockchain de la part des laboratoires pharmaceutiques ne fait plus aucun doute, Pascal Bouquet, directeur monde en charge de la technologie, de l’architecture et du numérique du laboratoire suisse Novartis, a jugé que la technologie "transformera le secteur pharmaceutique dans les 10 ans".

Invité à s'exprimer lors des journées de la Drug Information Association (DIA), qui se sont tenues du 5 au 7 février à Vienne, Pascal Bouquet a vanté "l'architecture blockchain pour le stockage et les transactions de données".

"La technologie présente des avantages pour de nombreux aspects du secteur de la santé, notamment pour la chaîne logistique, le développement clinique ou les données des patients", a plaidé le dirigeant de Novartis, cité par APM Health Europe (site d'information du groupe APM International, dont fait partie TICpharma).

Il a néanmoins déploré "beaucoup de battage médiatique à propos de la blockchain", mieux connue jusqu'à présent pour ses apports dans le développement et le fonctionnement des crypto-monnaies telles que le Bitcoin, mais il a prédit une maturité de la technologie et de son utilisation "à grande échelle" dans "quatre ou cinq ans".

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AI Diagnosis Tool Bridges The Gap Between Doctors And Patients

AI Diagnosis Tool Bridges The Gap Between Doctors And Patients | eHealth mHealth HealthTech innovations - Marketing Santé innovant | Scoop.it
The healthcare sector is facing a host of severe problems that do not have one overarching solution. Globally there is a shortage of 7.2 million healthcare workers, and a rapidly aging population will only add more strain to the doctors that remain. New technology powered by AI could provide the relief that physicians need, but there are many obstacles in implementing new technology, and radical systemic change may not help healthcare improve in the short term.

The AI healthcare market is expected to reach nearly $20B by 2024, and the big four tech companies have made clear their plans to take their own slice of the pie - but without the right approach, AI and emerging tech may just give doctors more to think about. With so much business potential at stake, and such a complex operational landscape to navigate, will emerging technologies alleviate the burden on doctors, or simply cause more problems?

Bringing medicine to the edge

Anyone thinking of introducing technology into the healthcare sector has to conform with strict regulations around patient information and physician practices, and navigate some of the largest obstacles to entry of any industry. Hospitals are incredibly bureaucratic places that make it difficult for any decision to be made without spending hours on patient administration. This bureaucracy, coupled with a lack of doctors and high instances of burnout, means that learning an entirely new technology-enabled system is not feasible for doctors. ‘You have an enormous cultural shift in behavior that has to happen,’ says Art Papier, CEO of VisualDx an AI diagnostic system, ‘it’s not going to happen overnight.’

As a way of bringing AI into the healthcare sphere without interrupting physicians, companies are bringing healthcare closer to the customer, with a huge increase in health apps over recent years promoting a healthy lifestyle. Increasing focus on healthy living and preventative care through technology could allow physicians to interact more frequently with patients remotely, and provide more actionable information before a patient even enters the hospital. Reducing the number of people that are referred to hospital in the first place, thereby reducing the workload of medical specialists, could also avoid serious problems of overtreatment and medical errors that are rife in the US.
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AI Is Rapidly Augmenting Healthcare and Longevity

AI Is Rapidly Augmenting Healthcare and Longevity | eHealth mHealth HealthTech innovations - Marketing Santé innovant | Scoop.it

When it comes to the future of healthcare, perhaps the only technology more powerful than CRISPR is artificial intelligence.

Over the past five years, healthcare AI startups around the globe raised over $4.3 billion across 576 deals, topping all other industries in AI deal activity.

During this same period, the FDA has given 70 AI healthcare tools and devices ‘fast-tracked approval’ because of their ability to save both lives and money.

The pace of AI-augmented healthcare innovation is only accelerating.

In Part 3 of this blog series on longevity and vitality, I cover the different ways in which AI is augmenting our healthcare system, enabling us to live longer and healthier lives.

In this blog, I’ll expand on:

- Machine learning and drug design
- Artificial intelligence and big data in medicine
- Healthcare, AI & China

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The consumerization of healthcare: the good, the bad, the baffling

The consumerization of healthcare: the good, the bad, the baffling | eHealth mHealth HealthTech innovations - Marketing Santé innovant | Scoop.it
Getting to a doctor’s office for a diagnosis can take days if not weeks — but getting a Google "diagnosis" takes seconds. Accessing information, both accurate and inaccurate, is easy today, opening new doors for consumers of healthcare.

“We are in a world where consumers have a lot of information and we need to give them a system to figure out how do we use that information appropriately and how does it fit into managing their health,” Jennifer Sargent, chief revenue officer at Vera Whole Health, said at HIMSS19's Consumerization of Health Symposium yesterday.

This trend, mixed with the fact that patients are increasingly expected to take on more of the cost burden with high deductible health plans and more expensive copays, is putting the patient — or the consumer — in the driver's seat for their healthcare.

While this gradual change is already having an impact on the industry, it many not be the fix that some are hoping for, according to speakers at the Symposioum.
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Le Cnom alerte sur un risque de "rupture de solidarité" avec l'essor du numérique en santé

Le Cnom alerte sur un risque de "rupture de solidarité" avec l'essor du numérique en santé | eHealth mHealth HealthTech innovations - Marketing Santé innovant | Scoop.it
S'il permet une plus grande collaboration entre professionnels de santé, le numérique est aussi perçu comme "le plus grand danger en matière de rupture de solidarité", faisant craindre l'apparition de "coupe-file" dans le parcours de soins, a alerté Patrick Bouet, président du Conseil national de l'ordre des médecins (Cnom), lors d'un débat public organisé le 12 février.

Patrick Bouet a regretté que la prise en compte de ce risque de rupture de solidarité soit "dramatiquement absente" du projet de loi relatif à l'organisation et à la transformation du système de santé, qui reprend une partie des mesures inscrites dans la stratégie "Ma santé 2022" (lire dépêches du 16 et du 17 janvier 2019).

"L'ordre des médecins dit aux parlementaires 'attention: si demain l'utilisation du numérique en santé permet l'institutionnalisation du coupe-file par rapport à la solidarité nationale, vous porterez une responsabilité majeure'", a déclaré Patrick Bouet à l'occasion du débat public, intitulé "Ma santé 2022: des paroles aux actes".

"On voit bien la tentation qui existe de créer des coupe-files par rapport aux parcours de soins, de créer des espaces captifs contractualisés pour un certain nombre d'usagers, et donc des risques d'iniquité, voire d'inégalité qui naîtraient de la mise en œuvre de ces dispositifs", a-t-il poursuivi.

Garantir la protection du citoyen contre ces "dérives" est un "point majeur" pour le Cnom, qui a déjà relayé à plusieurs reprises ses craintes quant à une "ubérisation des prestations médicales", notamment dans un rapport relatif à la télémédecine publié en 2016 (lire dépêche du 15 février 2016).
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Le séquençage du génome et les sénolytiques pourraient booster la qualité & l'espérance de vie

Le séquençage du génome et les sénolytiques pourraient booster la qualité & l'espérance de vie | eHealth mHealth HealthTech innovations - Marketing Santé innovant | Scoop.it
Les causes du vieillissement sont extrêmement complexes et confuses. Entre la démonétisation spectaculaire de la lecture et de l’édition du génome au cours de la dernière décennie, et les grandes sociétés pharmaceutiques, les startups et la FDA qui commencent à considérer le vieillissement comme une maladie, les chercheurs commencent à identifier des moyens pratiques d’étendre notre longévité.

 

Séquençage et édition du génome

 

Depuis 2001, le coût du séquençage d’un génome humain entier a chuté de façon exponentielle. Il est passé d’un coût initial de 3,7 milliards de dollars, à 10 millions de dollars en 2006 et à 5 000 $ en 2012. Aujourd’hui, le coût du séquençage du génome est inférieur à 500 $. Selon Illumina, le leader mondial du séquençage, le séquençage coûtera bientôt environ 100 $ et prendra environ une heure pour le terminer. Quand nous comprendrons votre génome, nous pourrons comprendre comment l’optimiser. Nous identifierons les aliments, les médicaments et les exercices physique correspondant parfaitement à notre biologie, individuellement. Nous comprendrons quels types de microbiomes, ou flore intestinale, sont idéaux pour vous. Nous saurons prévoir avec précision l’impact que certains sédatifs et médicaments spécifiques auront sur vous. Enfin, les médecins sauront quelles maladies et affections vous êtes le plus susceptible de développer et, plus important encore, la meilleure façon de les prévenir au départ.


Via Lionel Reichardt / le Pharmageek
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De l'eye-tracking pour un dépistage plus large et efficace de l'autisme

De l'eye-tracking pour un dépistage plus large et efficace de l'autisme | eHealth mHealth HealthTech innovations - Marketing Santé innovant | Scoop.it
Un groupe de recherche au sein du projet ACTE (Autisme en Contexte: Théorie et Expérience) de l'ULB travaille actuellement au développement d'un outil de dépistage de l'autisme qui devrait, pour les pédiatres, permettre un dépistage plus large et efficace afin de poser un diagnostic le plus tôt possible.

 

L'outil est «en phase de test», communique l'université bruxelloise jeudi. Sa particularité est de combiner des mesures du développement langagier de l'enfant avec la technologie de l' «eye-tracking», à l'aide d'un oculomètre. Cette technologie observe et mesure les mouvements de l'oeil, ici d'un enfant qui serait placé face à un écran. Le projet bénéficie de la collaboration de la société spécialisée Tobii Pro.

 

Le but n'est pas de diagnostiquer ou non l'autisme, mais bien de dépister un possible trouble du spectre autistique, d'identifier les enfants à risque. «Le diagnostic en lui-même, et c'est très important, est réalisé par une équipe multidisciplinaire, actuellement dans quatre centres de référence (pour la Wallonie et Bruxelles, NDLR). Mais notre ambition avec cet outil est d'élargir le dépistage qui précède, tout en le rendant plus efficace, ce qui devrait par exemple permettre de réduire les files d'attente dans ces centres et d'éviter le plus possible des cas de 'faux positif' ou 'faux négatif'», explique Mikhail Kissine, fondateur et directeur d'ACTE.


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AI-based newborn eye disease screener closes $1.5M Series A round

AI-based newborn eye disease screener closes $1.5M Series A round | eHealth mHealth HealthTech innovations - Marketing Santé innovant | Scoop.it
Palo Alto, California-based AI diagnostic maker Pr3vent, Inc. has closed a Series A funding round led by InFocus Capital Partners. While Pr3vent did not disclose the investment amount in its announcement, MedCityNews pegs the round at $1.5 million.

The latest fundraising comes hot off of the heels of Pr3vent’s seed round, which raised $1 million back in October.

What they do

Pr3vent is building artificial intelligence and machine learning-based screening tools specifically tuned to detect ophthalmic conditions in newborns. The screens are not invasive, and seek to identify and address abnormalities early in a child’s development so that future blindness can be prevented.

What it’s for

Cofound Darious Moshfeghi said in a statement that the new backing will allow his company to “accelerate the process of developing our revoluationary imaging system for early detection of preventable vision loss in newborns.”

Market snapshot

As AI and machine learning diagnostics gradually pick up steam, a handful of high-profile tools have also decided to focus specifically on the eye as a window into patients’ conditions.

For example, IDx, which raised $33 million in September and secured a De Novo clearance earlier in the year, makes an autonomous screener for diabetic retinopathy. Alphabet’s DeepMind is reporting some promising results for its diagnostic algorithm as well.
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HIMSS19: CMMI launching challenge competition to drive AI innovation

HIMSS19: CMMI launching challenge competition to drive AI innovation | eHealth mHealth HealthTech innovations - Marketing Santé innovant | Scoop.it

The federal government is launching a challenge competition to explore the use of artificial intelligence to predict health outcomes and improve health care delivery.

Adam Boehler, director of the Center for Medicare & Medicaid Innovation (CMMI)—the innovation arm of the Centers for Medicare & Medicaid Services—said the federal agency is launching the Artificial Intelligence Health Outcomes Challenge.

The challenge, announced by Boehler during a media briefing at the Healthcare Information and Management Systems Society's (HIMSS) annual conference and exhibition, is being launched in partnership with the American Academy of Family Physicians.

The challenge, which will be run through XPRIZE, a not-for-profit organization that designs and manages public competitions intended to encourage technological development, is expected to be rolled out in the next few weeks. Winners of the challenge will receive a significant monetary award, he said.

Boehler, also the CMS deputy administrator, said the goal of the initiative was to drive the private sector to develop AI tools that could better predict health outcomes to improve care quality. Better predictive power can help to identify the onset of dangerous conditions such as septic shock so physicians can intervene earlier, he said.


Last year, Google, in collaboration with the University of California San Francisco, released a study that found its AI-based software was more effective at predicting patient outcomes than other methods currently available.

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IBM Watson Health’s chief health officer talks healthcare challenges and AI

IBM Watson Health’s chief health officer talks healthcare challenges and AI | eHealth mHealth HealthTech innovations - Marketing Santé innovant | Scoop.it
IBM Watson Health is at the forefront of artificial intelligence in healthcare. The company is tackling a wide array of challenges in the industry, and is working with major provider organizations to do so.

For HIMSS19 week, Healthcare IT News conducted an exclusive interview with Dr. Kyu Rhee, vice president and chief health officer at IBM Watson Health, to discuss the state of health IT and what lies ahead. Dr. Rhee offers frank and in-depth answers that give healthcare CIOs and other executives plenty to think about.

Q: What are the biggest challenges facing healthcare provider organizations today?

A: Healthcare providers are living through an unprecedented era of disruption that has upended the status quo for both administrators and clinicians.

On the administrative side, hospitals and health system business models have undergone a historic transformation that puts quality at the center of the success equation. Starting this year, a number of providers around the country learned whether their Medicare reimbursements were going to be adjusted up or down based on how well they performed in 2017 thanks to new value-based payment programs that adjust reimbursements based on outcomes.

Meanwhile, health plans and employers are reshaping the way the world pays for healthcare. They are aggressively moving into risk-based contracting arrangements with healthcare providers. In November, Walmart launched its 10th direct contracting relationship with a health system, cementing the strategy as a cornerstone of population health for its 1 million U.S. employees. This fundamental shift away from fee-for-service to value-based payment models changes literally everything about the way hospitals are run as a business.

On the clinical side, providers are dealing with a really troubling data paradox. They are under enormous pressure to meet new performance guidelines, all of which are based on quantitative evidence. But they are drowning in the very data they need to reach these performance benchmarks.
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Johnson & Johnson to Acquire Auris Health for $3.4B to Expand Digital Surgery Portfolio

Johnson & Johnson to Acquire Auris Health for $3.4B to Expand Digital Surgery Portfolio | eHealth mHealth HealthTech innovations - Marketing Santé innovant | Scoop.it
Johnson & Johnson, today announced it has entered into a definitive agreement to acquire Auris Health, a developer of robotic technologies for $3.4 billion in cash. Auris Health is a privately held developer of robotic technologies, initially focused on lung cancer, with an FDA-cleared Monarch platform currently used in bronchoscopic diagnostic and therapeutic procedures. This acquisition will accelerate Johnson & Johnson’s entry into robotics and strengthens its digital surgery portfolio of solutions.


Aurius Health Background

Founded in 2007 by Dr. Frederic Moll, Auris seeks to leverage the power of flexible robotics to enable new possibilities in endoscopy, which uses small cameras and tools to enter the body through its natural openings. The Monarch Platform integrates the latest advancements in robotics, micro-instrumentation, endoscope design, sensing, and data science into one platform to improve outcomes and reduce cost.

Auris designed the Monarch Platform to allow physicians to accurately access small and hard-to-reach lung nodules early, for diagnosing and targeting treatment. With this acquisition, Frederic Moll, M.D., CEO and Founder of Auris Health and a visionary in the field of surgical robotics, will be joining Johnson & Johnson

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Mayo Clinic CIO in dealing with his own cancer "cringes" at state of IT usability

Mayo Clinic CIO in dealing with his own cancer "cringes" at state of IT usability | eHealth mHealth HealthTech innovations - Marketing Santé innovant | Scoop.it

Sometimes the proof is in the pudding or as Cris Ross, chief information officer of Mayo Clinic, put it — you have to eat what you cooked. That is what Ross encountered last year after spearheading the EHR conversion to Epic at Mayo and then receiving a Stage 3 cancer diagnosis in the summer of 2018.

Suddenly he went from leading the health IT effort at Mayo to a humble patient, subjected to months of chemo, radiation therapy, multiple scans and never ending lab tests and office visits. As he undoubtedly wrestled with his mortality — his care team informed him that the cancer was serious but most likely curable — the cancer also allowed him to experience first-hand how information and technology was being used in the hospital setting.

And all was not pretty.

“Our EHR conversion went well – we either met or exceeded all of our targets,” he said at the opening session of the annual HIMSS conference in Orlando on Tuesday. “But as I had my MRIs and CT scans and radiation therapy and lab appointments and office visits, I sometimes had to cringe seeing a clinician struggle with something that we simply haven’t mastered yet.”

While automation the collection of information had been achieved, data sharing and interoperability were the mountains that still needed climbing, he said. And for that to occur, the systems need to be made more usable.

“Vendors, health IT professionals, all of us here, want to deliver great usable systems,” he told the audience. “We know we can do better. That means that creating space for usability. That means being intolerable of the mediocre. That means trust, collaboration between clinicians and technology professionals.”

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WeHealth by Servier et le MIT signent un partenariat dans la santé connectée à domicile

WeHealth by Servier et le MIT signent un partenariat dans la santé connectée à domicile | eHealth mHealth HealthTech innovations - Marketing Santé innovant | Scoop.it
WeHealth by Servier, la direction e-santé du groupe Servier, et l’AgeLab, rattaché au Massachusetts Institute of Technology (MIT), ont annoncé aujourd’hui la signature d’un accord de partenariat qui vise à définir les nouvelles opportunités du marché des objets connectés à domicile.

 

WeHealth et l’AgeLab collaboreront, avec l’aide d’autres acteurs de l’industrie, au sein du consortium AgeLab C3 Connected Home Logistics. Ils s’engageront dans de la recherche collaborative afin de développer des solutions et des services innovants de santé à domicile. Ceux-ci permettront de relever le défi de la connectivité et de l’accès aux soins, tout en améliorant la santé et le bien-être des patients, et plus particulièrement des personnes âgées.

 

« Ce partenariat est une occasion sans précédent de mettre nos forces en synergie pour faire progresser la santé », a déclaré Dr. David Guez, directeur général de WeHealth by Servier. « Ce partenariat s’inscrit dans notre démarche d’open innovation qui constitue un levier efficace pour accélérer le développement et la commercialisation de solutions aux bénéfices des patients et professionnels de santé ».

 

Les travaux de recherche du AgeLab MIT ont pour objectif de comprendre les impacts des changements démographiques sur les comportements des consommateurs. Ces travaux ont permis d’imaginer le domicile de demain comme une plateforme de services et d’expériences facilités par un réseau de technologies interconnectées, et non pas uniquement comme un lieu de vie.


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