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Can Healthcare Avoid “Black Box” Artificial Intelligence Tools?

Can Healthcare Avoid “Black Box” Artificial Intelligence Tools? | eHealth mHealth HealthTech innovations - Marketing Santé innovant | Scoop.it

Artificial intelligence is taking the healthcare industry by storm as researchers share breakthrough after breakthrough and vendors quickly commercialize advanced algorithms offering clinical decision support or financial and operational aid.

Terms like machine learning, deep learning, neural networks, random forests, and unsupervised learning are becoming part of the everyday lingo for analytics enthusiasts, but even experts in big data can sometimes feel left in the dark when trying to figure out exactly how these new tools come to their conclusions.

“Black box” software is nothing new, in healthcare or elsewhere. Most users implicitly trust the results of their various tools and systems without knowing exactly how “input A” gets translated into “output B.”

Without extensive training in software design and development, data science, or engineering, it is impossible for the average consumer to understand the intricate inner workings of the applications, machines, and devices that now form so much of the digital substrata upon which we all depend.

And in most cases, this intimate knowledge isn’t necessary.

But when it comes to clinical decision making, which is bound just as much by moral imperatives as it is by liability laws, it is critical for providers and patients to have as much transparency as possible - especially if a computer is helping to make recommendations about diagnoses or treatment protocols.

Even if it is difficult for users to understand all the nuances of how a particular algorithm functions, healthcare professionals must be able to independently review the clinical basis for recommendations generated by AI or other machine learning tools, stresses the Clinical Decision Support Coalition in its recent voluntary guidelines for developers.

What can be explained should be explained, the Coalition says, and machine learning tools should do their very best to share how confident they are that a particular recommendation or association is trustworthy.

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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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Healthy.io lève 18 millions de dollars pour ses tests urinaires via smartphone

Healthy.io lève 18 millions de dollars pour ses tests urinaires via smartphone | eHealth mHealth HealthTech innovations - Marketing Santé innovant | Scoop.it
Le montant

Healthy.io, la startup israélienne qui a mis au point un test d’urine fonctionnant via smartphone, accélère la diffusion de sa technologie avec une levée de 18 millions de dollars en série B menée par le fonds d’investissement Aleph. Samsung Next a aussi participé.

Ce tour de table porte a 30 millions de dollars, les fonds levés par l’entreprise depuis sa création en 2013.


Le marché

Dip.io, le kit développé par Healthy.io, permet aux utilisateurs de réaliser un test urinaire de chez eux. Les utilisateurs doivent uriner dans un pot, y tremper une bandelette, attendre que celle-ci réagisse en fonction d’un code couleurs et prendre le résultat en photo à l’aide d’une application dédiée. Celle-ci est ensuite envoyée sur le cloud afin d’être analysée.

Dans un premier temps, le test a été pensé pour les personnes souffrant d’insuffisance rénale chronique afin d’améliorer le suivi et la prévention de la maladie. Mais son utilisation peut être plus large et le kit permet de tester un large éventail d’indicateurs: les cétones, les leucocytes, les nitrites, le glucose, les protéines mais aussi des pathologies liées à la grossesse.

Le but est d’encourager les gens à se tester plus régulièrement afin de détecter plus en amont les signes de dysfonctionnement rénal. Au Royaume-Uni, Dip.io est disponible via un programme de clinique rénale virtuelle lancée par un établissement de la NHS (National Health Service).

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Why hospitals and health insurers are really turning to the cloud #esante #hcsmeufr #digitalhealth

Why hospitals and health insurers are really turning to the cloud #esante #hcsmeufr #digitalhealth | eHealth mHealth HealthTech innovations - Marketing Santé innovant | Scoop.it

There’s little debating that healthcare and technology are at an interesting intersection right now. So many big ideas, so much promise. But wide-scale transformation doesn’t just happen.

“All the ideas need doers, those who enable action to shift ideas to execution,” said Aashima Gupta, Google Cloud’s director of global health solutions, here at the Cloud Computing Forum on Monday.

Three such doers also took the stage to offer a glimpse of how they are using cloud computing today and hints about the future: NewYork-Presbyterian, Mercy and Humana.

 

“By 2022, we’re expecting to move the majority of our applications and infrastructure to the cloud, leaving just 20 percent on-premises,” said David Vawdrey, vice president for analytics and clinical systems at NYP.

 

It’s not merely embracing the cloud for cloud’s sake. Vawdrey said it’s to improve patient experience, make the hardest parts of tech invisible to users and equip them with patient-facing technologies such as virtual visits.

 

“Imagine you are asking financial advice. You call the 1-800 number, and Warren Buffett answers the phone,” Vawdrey said. “This is the vision we’re trying to create with telehealth.”


Via Florian Morandeau, Lionel Reichardt / le Pharmageek
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Florian Morandeau's curator insight, February 12, 1:21 AM

Meet 3 hospitals that are harnessing the cloud to improve patient and clinician experience.

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Ces startups qui réinventent le parcours à l'hôpital

Ces startups qui réinventent le parcours à l'hôpital | eHealth mHealth HealthTech innovations - Marketing Santé innovant | Scoop.it

Elles s’appellent Happytal, Betterise Health, Be Patient ou encore Nouveal e-santé et promettent d’être les actrices du suivi médical de demain. Ces start-ups ont en commun de vouloir réinventer l’expérience du patient à l’hôpital pour la rendre plus confortable et moins angoissante.

 

Pour cela, elles proposent différentes solutions numériques allant des démarches en ligne (enregistrer sa pré-admission, réserver une chambre individuelle, connecter sa mutuelle et son hôpital pour organiser au mieux ses remboursements…) au service de conciergerie intégré (fourniture de produits d’hygiène, de livres, de services de streaming vidéo ou de snacks pendant le séjour à l’hôpital, réservation de garde d’enfant pendant l’hospitalisation et d’aide à domicile en sortant). Objectif : faire en sorte que les patients ne se sentent pas à l’hôpital.

 

Une vision plus sociale qui fait son chemin : surtout connue pour son service de conciergerie, Happytal revendique désormais 72 établissements de santé clients en France et en Belgique, dont 68 publics et 4 privés, et 25 000 patients qui auraient bénéficié de ses services. Lauréate du Pass French Tech, la startup a réussi une levée de fonds de 23 millions en novembre dernier et cherche désormais à s’étendre en Europe.


Via Vigipharm
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Innovations biomédicales: le droit comme garde-fou

Innovations biomédicales: le droit comme garde-fou | eHealth mHealth HealthTech innovations - Marketing Santé innovant | Scoop.it
Thérapie génique ou à base de cellules souches, clonage, nanomédecine, etc. autant de techniques innovantes sur lesquelles doit se pencher le droit. Comment encadrer les recherches ? Quel traitement autoriser tout en protégeant les patients ? Éclairage avec la juriste Aurélie Mahalatchimy.

Vous êtes juriste, spécialisée dans les questions liées aux innovations biomédicales. Il s’agit notamment de réglementer la recherche dans ce domaine ou encore d’encadrer l’accès des patients aux traitements. Mais que sont exactement ces innovations biomédicales ?


Aurélie Mahalatchimy1 : Aussi étrange que cela paraisse, il n’existe pas de définition juridique. Chaque spécialiste ou presque y va de sa propre définition. Selon moi, les innovations biomédicales (IB) englobent des procédures, techniques et produits se trouvant à la croisée de la biologie et de la médecine et offrant de nouvelles perspectives thérapeutiques aux patients.


Les innovations en santé présentent des incertitudes au regard des risques qu’elles peuvent engendrer sur le long terme, soulèvent à la fois des espoirs et des craintes, et amènent la société à s’interroger sur ce qu’il convient d’autoriser ou non.

Il peut s’agir par exemple de la reconstruction de la trachée grâce à des tissus prélevés sur les côtes et dans le dos, ou de l’implantation de chondrocytes autologues (cellules formant le cartilage et provenant du patient lui-même) pour réparer les lésions du cartilage du genou. Autres caractéristiques des innovations en santé : elles présentent des incertitudes au regard des risques qu’elles peuvent engendrer sur le long terme, soulèvent à la fois des espoirs et des craintes, et amènent la société à s’interroger sur ce qu’il convient d’autoriser ou non. Bref, les IB entraînent de profonds changements dans l’environnement médical, technologique, social, éthique et juridique.

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A.I.-Powered Stethoscope Diagnoses Pneumonia Like a Robot Doctor

A.I.-Powered Stethoscope Diagnoses Pneumonia Like a Robot Doctor | eHealth mHealth HealthTech innovations - Marketing Santé innovant | Scoop.it
Pneumonia, an acute respiratory condition which affects the lungs, kills millions of people around the world each year. This includes 16 percent of all children who die under the age of five. It’s particularly devastating in parts of the world without the necessary trained doctors and required medical equipment, such as X-ray machines, to treat it effectively. Could reinventing the stethoscope help?

Researchers from Johns Hopkins University think so. Spinning off to form the startup Sonavi Labs, they have developed an updated version of this core piece of medical equipment which has remained largely unchanged since the 1800s, boasting some smart, cutting-edge additions. This includes smart noise-filtering technology for enhancing the sound quality of chest readings. Perhaps even more importantly, the device uses A.I. technology to help automatically screen for pneumonia by listening for particular types of breathing on the part of patients. As a result, the stethoscope itself can help provide diagnoses.

“Sonavi Labs is now producing a digital stethoscope with three major differences that distinguish our product from everything else on the market. Our digital stethoscope is less sensitive to precise placement on the body, it incorporates active noise control so that it can work in almost any environment, and it is able to detect abnormal lung sounds,” James West, a research professor of electrical, computer and mechanical engineering at Johns Hopkins, told Digital Trends. “It is a smart system capable of identifying symptoms of pneumonia and other respiratory infections independent of a medically trained ear.”
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Microsoft announces AI-powered healthcare chatbot

Microsoft announces AI-powered healthcare chatbot | eHealth mHealth HealthTech innovations - Marketing Santé innovant | Scoop.it
Microsoft unveiled a new tool that allows healthcare organizations to create their own AI-powered chatbots and virtual assistants for various services.

The Microsoft Healthcare Bot is one of several new tools the company recently announced as part of its effort to transform “how healthcare is experienced and delivered.” The other tools unveiled were:

Microsoft 365 for healthcare organizations, which features new capabilities in Microsoft Teams that allow healthcare teams to communicate and collaborate in a secure hub.
Azure API for FHIR (Fast Health Interoperability Resources), which enable health system interoperability and to share data in the cloud.

The Microsoft Healthcare Bot was first introduced in 2017 as a research project. Its features include healthcare intelligence, medical content and terminology and a built-in symptom checker. In a blog post, the company said the bot can also be used to help organizations to solve business problems and can connect to health systems, like electronic health records (EHRs).

The company also plans to discuss the new tools during the HIMSS conference in February in Orlando, Florida.
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Jean-Christophe Lévêque's curator insight, February 11, 8:43 AM

#Microsoft est très actif dans la Santé. Après son accréditation en tant qu'hébergeur de Données de Santé, les voici sur le #Voicobot pour la Santé, monitors par de l'#IA. #hcsmeufr #esanté #digitalhealth

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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.


Via Rémy TESTON
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Google and Apple in Healthcare: Threat or Opportunity?

Google and Apple in Healthcare: Threat or Opportunity? | eHealth mHealth HealthTech innovations - Marketing Santé innovant | Scoop.it

Health has truly met wealth with the new strides of tech giants Google and Apple who are becoming increasingly confident in healthcare. While early advances, such as Google Glass in the OR, arguably left little impact on the healthcare sector, more recent efforts by both organisations have demanded more serious consideration by hospital systems, consumers, regulators and life sciences organisations.


In this week's blog we take a look at some of the notable healthcare activities Google and Apple have engaged in so far in an effort to provide an insight into their healthcare strategies and where healthcare incumbents may be challenged or where healthcare organisations may stand to benefit from the precedent and structure they pave in the slowly shifting healthcare environment.

Google Alphabet - Artificial Intelligence, Collaboration and Radical Experimentation

Not many companies garner the impact required to become a verb. Since their Menlo Park beginnings in 1998, Google has done far more than creep into our everyday lexicon, manage our business correspondences and facilitate rabbit hole web searches.

 

While Healthcare is a relatively recent foray for the tech giant, their strategy so far has been confident (sometimes too confident) involving aggressive experimentation, collaborative partnerships and a firm belief in their grasp of AI and data navigation. The Google restructuring to Alphabet in 2015 highlighted their newfound commitment to healthcare following a few failed healthcare projects. This restructuring led to the development of life sciences, technological research and investment arms either dedicated to, or heavily involved in, different therapeutic areas and technological delivery methods spanning precision medicine, aging, smart sensors, infectious disease management, diagnostic support tools and more.

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Disrupt or be disrupted

Disrupt or be disrupted | eHealth mHealth HealthTech innovations - Marketing Santé innovant | Scoop.it
When it comes to innovation, healthcare players can’t wait around to see how it it going to play out.

“You are either being disrupted or a disruptor — sometimes you are both,” Neil Patel, president of Healthbox and EVP at HIMSS, said this morning at the Innovation Symposium.

That’s why it’s important to always be looking ahead and thinking about trends, he said. Giving Blockbuster as the example of a service that missed out on innovation to competitors like Netflix and Redbox, Patel stressed that it's important for the established systems to look ahead.

“You don’t need to respond to every single threat that comes your way. But you need to start looking at trends,” Patel said. “What kinds of opportunities are these startups or new entrances seeking within your current system? And then think about that on a macro level — what can you do about the change?”

Healthcare is seeing a lack of consumer choice, high systemic waste, poor outcomes and a high cost of care, he said. That, coupled with the fact healthcare is becoming “cool again” and the general trend towards infrastructure digitization, means that this is a ripe time to innovate.

Right now there are the two camps in this disruption space: new entrances into the health arena like Amazon or Facebook and the incumbents in the industry such as large health systems. Each are making moves in different ways. While there is still a lot of speculation around what these new players will do in the space, the last year has given some hints. Amazon has made headlines in the past year for acquiring Pillpack and inking a deal with JP Morgan and Berkshire Hathaway.
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Comment les smartphones sauvent de plus en plus de vies #esante #hcsmeufr #digitalhealth

Comment les smartphones sauvent de plus en plus de vies #esante #hcsmeufr #digitalhealth | eHealth mHealth HealthTech innovations - Marketing Santé innovant | Scoop.it

Avec un smartphone et un capteur, il est aujourd'hui possible de réaliser des diagnostics médicaux (de l’hypertension au paludisme...) via des analyses de sang ou d’urine et aussi de suivre des pathologies chroniques.

Atlantico: Comment ces innovations peuvent-elles améliorer la prise en charge des pathologies ? Quels sont les enjeux économiques de ces innovations ?

Bernard Benhamou : Dans le domaine des technologies, le nom que l’on donne parfois à ces nouvelles générations d’objets médicaux connectés est le Tricorder, du nom de l'appareil mobile, qui, dans Star Trek, permet à Spock de faire des diagnostics à main levée. En 2014, la fondation X-Prize et la société Qualcomm, ont ainsi lancé un concours afin de concevoir un Tricorder connecté au smartphone qui permettrait de diagnostiquer des pathologies courantes. Actuellement, on utilise déjà des capteurs connectés au smartphone pour détecter le paludisme ou encore réaliser des analyses d'urine, des analyses sanguines, mais nous n’en sommes qu’au tout début. L'objectif,  au-delà du suivi de certaines pathologies, est de créer un outil de diagnostic universel pour des pathologies comme le diabète, les maladies cardio-vasculaires et respiratoire afin de faire émerger un segment industriel liés au diagnostic mais aussi à la prévention et au suivi des pathologies.


Via Doc-Ifsi-Narbonne, Lionel Reichardt / le Pharmageek
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#Diabète : des chercheurs créent des cellules productrices d'#insuline #sante #hcsmeufr 

#Diabète : des chercheurs créent des cellules productrices d'#insuline #sante #hcsmeufr  | eHealth mHealth HealthTech innovations - Marketing Santé innovant | Scoop.it

Pour la première fois, des chercheurs ont réussi à transformer de cellules souches humaines en cellules matures productrices d'insuline. A terme, cela pourrait soigner les personnes atteintes de diabète de type 1.

 

Voilà qui pourrait changer la vie de millions de personnes souffrant de diabète de type 1 à travers le monde. Pour la première fois, des chercheurs américains ont réussi à transformer des cellules souches humaines en cellules matures productrices d'insuline en laboratoire, selon une étude parue dans la revue Nature Cell Biology.

 

Cette réussite est l’aboutissement d’un travail de plusieurs années. "Les cellules que nous produisions étaient coincées à un stade immature où elles n’arrivaient pas à répondre de manière adéquate au glucose sanguin et à sécréter de l’insuline correctement", note Matthias Hebrok, du Centre de Recherches sur le Diabète de San Francisco, auteur de l’étude. Puis, son équipe et lui ont réalisé que la clé du succès résidait dans un aspect négligé du développement des cellules bêta, le processus physique par lequel les cellules se séparent du reste du pancréas et forment ce qu'on appelle les îlots de Langerhans.

 

Les chercheurs ont alors reproduit ce processus en laboratoire en séparant artificiellement des cellules souches du pancréas et en les reformant en des grappes d’îlots. Résultat : les cellules bêta et les autres (delta et alpha) ont commencé à répondre au glucose comme des cellules matures productrices d’insuline.


Via GIE_GERS
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GIE_GERS's curator insight, February 10, 2:04 PM

Pour la première fois, des chercheurs ont réussi à transformer de cellules souches humaines en cellules matures productrices d'insuline. A terme, cela pourrait soigner les personnes atteintes de diabète de type 1. 

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Fitbit lance deux bracelets connectés dédiés au marché de la santé

Fitbit lance deux bracelets connectés dédiés au marché de la santé | eHealth mHealth HealthTech innovations - Marketing Santé innovant | Scoop.it
Fitbit a discrètement annoncé la commercialisation de deux bracelets connectés le Fitbit Inspire HR et l’Inspire. Contrairement à la plupart des dispositifs de la marque, ceux sont réservés aux entreprises et aux centres de soins.

A la fin de la semaine dernière, nous apprenions la commercialisation de deux nouveaux bracelets connectés : le Fitbit Inspire HR et le Inspire. Il s’agit pour le fabricant de cibler le marché BtoB. En effet, le bracelet connecté n’est disponible que dans les centres de soins et les entreprises ayant un partenariat avec le fabricant.


Deux bracelets connectés réservés aux patients et aux employés

Les objets connectés présentés sur une page Web de la division Health Solutions reprennent les fonctionnalités classiques des autres produits de la marque. Le modèle Inspire s’adresse aux employés et aux patients qui cherchent à se remettre en forme. Il dispose des fonctions suivantes : suivi du sommeil, calories brûlées, objectif à paramétrer, détection de nombreux dont la natation ou encore réception de mail et de SMS. En outre, le bracelet bénéficie jusqu’à cinq jours d’autonomie.

Le Fitbit Inspire HR lui bénéficie en sus d’un capteur de la fréquence cardiaque activé en permanence. Il peut analyser les stades du sommeil, dispose de 15 modes d’exercices basés sur des objectifs, d’un GPS et il analyse le niveau cardiovasculaire lors des exercices.

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Two former Qualcomm engineers are using AI to fix China’s healthcare problem

Two former Qualcomm engineers are using AI to fix China’s healthcare problem | eHealth mHealth HealthTech innovations - Marketing Santé innovant | Scoop.it
Artificial intelligence is widely heralded as something that could disrupt the jobs market across the board — potentially eating into careers as varied as accountants, advertising agents, reporters and more — but there are some industries in dire need of assistance where AI could make a wholly positive impact, a core one being healthcare.

Despite being the world’s second-largest economy, China is still coping with a serious shortage of medical resources. In 2015, the country had 1.8 physicians per 1,000 citizens, according to data compiled by the Organization for Economic Cooperation and Development. That figure puts China behind the U.S. at 2.6 and was well below the OECD average of 3.4.

The undersupply means a nation of overworked doctors who constantly struggle to finish screening patient scans. Misdiagnoses inevitably follow. Spotting the demand, forward-thinking engineers and healthcare professionals move to get deep learning into analyzing medical images. Research firm IDC estimates that the market for AI-aided medical diagnosis and treatment in China crossed 183 million yuan ($27 million) in 2017 and is expected to reach 5.88 billion yuan ($870 million) by 2022.
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