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Rescooped by Dominique Godefroy from Santé, eSanté, mSanté, santé numérique, Quantified Self et télémédecine... Toute l'actualité sur la santé de demain (en français)
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Infographie : Les Français et l'information santé sur Internet, Etude Eurobaromètre septembre 2014

Infographie : Les Français et l'information santé sur Internet, Etude Eurobaromètre septembre 2014 | eHealth mHealth HealthTech innovations - Marketing Santé innovant | Scoop.it
Les Francais et l'info sante | Piktochart Infographic Editor

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Digital, Apps, IoT, devices, AI / DL (...) innovations for Health and Healthcare
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AstraZeneca CEO outlines plans for medtech expansion in China

AstraZeneca CEO outlines plans for medtech expansion in China | eHealth mHealth HealthTech innovations - Marketing Santé innovant | Scoop.it
AstraZeneca plans to better employ artificial intelligence, robots and digital applications to help change disease management in China and transition the drugmaker’s 25-year-old operations in the country toward that of a broader provider of healthcare services, CEO Pascal Soriot told Reuters in an interview.

Those products could include smarter cancer diagnostics, connected diabetes kits and using AI to improve the transport of patients with chest pain, the report said. While those ventures may not directly raise the company’s drug sales by themselves, it will give AstraZeneca a larger footprint in the Chinese market.

“Down the line we benefit, our products benefit, because we have better relationships with doctors and hospital managers and also because we diagnose more patients and they get better treated,” Soriot told Reuters at the World Internet of Things Exposition in Wuxi, China.
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Accenture, Merck, Amazon Team Up to Launch Cloud-based Informatics Platform for Life Sciences

Accenture, Merck, Amazon Team Up to Launch Cloud-based Informatics Platform for Life Sciences | eHealth mHealth HealthTech innovations - Marketing Santé innovant | Scoop.it
In the Life Sciences research space, there has been a tendency to underinvest in technology. As a result, much of the current infrastructure is outdated, fragmented and unable to keep up with breakthroughs in modern science and technology.

To help solve this technology challenge, Accenture, Merck and Amazon Web Services (AWS) are announcing a new, pre-competitive collaboration to launch a cloud-based informatics platform that will allow Life Sciences companies improve productivity, efficiency, and innovation in the early stages of drug development. Merck will be the first company to use this ground-breaking platform.
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Doctoconsult fait passer la psychiatrie à la télémédecine, Actu

Doctoconsult fait passer la psychiatrie à la télémédecine, Actu | eHealth mHealth HealthTech innovations - Marketing Santé innovant | Scoop.it

La plate-forme française vient de lever 2 millions d'euros pour accélérer son développement auprès des praticiens libéraux. Elle se focalise sur trois disciplines, la psychiatrie, la nutrition et l'addictologie.

Pour Doctoconsult, ce n'est pas une nouveauté, mais cela devrait clairement accélérer son déploiement : L'entrée en vigueur ce samedi 15 septembre de la loi permettant le remboursement des actes de télémédecine va rendre le sujet plus lisible à la fois pour les praticiens psychiatres que vise la start-up, et leurs patients. La jeune pousse fondée par Fanny Jacq n'a pas attendu ce jour pour tester sa solution et compte déjà une centaine de médecins qui ont pratiqué un millier de consultations depuis novembre 2017. Et avec la particularité d'avoir déjà obtenu les agréments nécessaires pour déclencher les remboursements de la part de la Sécurité sociale et des mutuelles !

Le besoin des clients à la base de l'idée

« Nous avons obtenu les autorisations il y a deux ans déjà, raconte Fanny Jacq. La consultation en ligne pour les disciplines que nous couvrons est très efficace ce qui a aidé bien entendu. » A l'inverse Qare veut faciliter l'accès des Français à la télémédecine qui choisissent un positionnement généraliste, Doctoconsult se concentre sur la psychiatrie, la nutrition et l'addictologie. Trois domaines jusque-là peu digitalisés et « parents pauvres de la numérisation », affirme la startuppeuse, également médecin-psychiatre depuis quinze ans. C'est à Paris, lorsqu'elle a ouvert son cabinet en libéral, que Fanny Jacq a compris l'opportunité de la télémédecine : « Le besoin est venu de mes patients qui souhaitaient pouvoir continuer les échanges avec moi lorsqu'ils partaient en vacances ou lorsqu'ils ne pouvaient pas se déplacer. »

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Abdul Latif Jameel Clinic for Machine Learning in Health at MIT aims to revolutionize disease prevention, detection, and treatment

Abdul Latif Jameel Clinic for Machine Learning in Health at MIT aims to revolutionize disease prevention, detection, and treatment | eHealth mHealth HealthTech innovations - Marketing Santé innovant | Scoop.it

Today, MIT and Community Jameel, the social enterprise organization founded and chaired by Mohammed Abdul Latif Jameel ’78, launched the Abdul Latif Jameel Clinic for Machine Learning in Health (J-Clinic). This is the fourth major collaborative effort between MIT and Community Jameel.

J-Clinic, a key part of the MIT Quest for Intelligence, will focus on developing machine learning technologies to revolutionize the prevention, detection, and treatment of disease. It will concentrate on creating and commercializing high-precision, affordable, and scalable machine learning technologies in areas of health care ranging from diagnostics to pharmaceuticals, with three main areas of focus:

- preventative medicine methods and technologies with the potential to change the course of noninfectious disease by stopping it in its tracks;
- cost-effective diagnostic tests that may be able to both detect and alleviate health problems; and
- drug discovery and development to enable faster and cheaper discovery, development, and manufacture of new pharmaceuticals, particularly those targeted for individually customized therapies.

J-Clinic’s holistic approach will utilize MIT’s strong expertise in cellular and medical biology, computer science, engineering, and the social sciences, among other areas.

“The health care system has no shortage of data,” says MIT President L. Rafael Reif. “But it has far too little access to the kinds of tools and experts who can translate population-level data into clinical insights that could make it possible to tune care precisely for individuals. Building on MIT’s deep expertise in fields from cancer to neuroscience, and our longstanding connections to Boston’s world-class medical community, J-Clinic offers an accelerated path to creating new technologies that could help make health care more effective everywhere — from villages in developing nations to major teaching hospitals.”

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The AI Industry Series: Top Healthcare AI Trends To Watch

The AI Industry Series: Top Healthcare AI Trends To Watch | eHealth mHealth HealthTech innovations - Marketing Santé innovant | Scoop.it

AI needs doctors. Big pharma is taking an AI-first approach. Apple is revolutionizing clinical studies. We look at the top artificial intelligence trends reshaping healthcare.

Healthcare is emerging as a prominent area for AI research and applications.

And nearly every area across the industry will be impacted by the technology’s rise.

Image recognition, for example, is revolutionizing diagnostics. Recently, Google DeepMind’s neural networks matched the accuracy of medical experts in diagnosing 50 sight-threatening eye diseases.

Even pharma companies are experimenting with deep learning to design new drugs. For example, Merck partnered with startup Atomwise and GlaxoSmithKline is partnering with Insilico Medicine.

In the private market, healthcare AI startups have raised $4.3B across 576 deals since 2013, topping all other industries in AI deal activity.

AI in healthcare is currently geared towards improving patient outcomes, aligning the interests of various stakeholders, and reducing healthcare costs.

One of the biggest hurdles for artificial intelligence in healthcare will be overcoming inertia to overhaul current processes that no longer work, and experimenting with emerging technologies.

AI faces both technical and feasibility challenges that are unique to the healthcare industry. For example, there’s no standard format or central repository of patient data in the United States.

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Just Like Any New, Burgeoning Shiny New Object, Healthcare CRM Has Its Own Challenges

Just Like Any New, Burgeoning Shiny New Object, Healthcare CRM Has Its Own Challenges | eHealth mHealth HealthTech innovations - Marketing Santé innovant | Scoop.it

Managing massive amounts of data is not an easy task. I am pretty sure that many of you must have had hard times in weeding out some of the most actionable insights. Even after investing in a healthcare customer relationship management software, chances are there that you might probably feel the pressure from leadership to make more data-driven decisions and prove the financial worth of your marketing efforts.

Like it or not, consumers are craving for change in the healthcare industry. Whether it’s about searching or selecting a provider, their ways, expectations from healthcare service provider have completely transformed over the past few years. As a result, you require to provide more value with your products and services because your competition probably does (this includes industries encroaching into the healthcare space). This is when a CRM comes into play.

Earlier CRMs were catapulted into the public’s consciousness but never implemented. Today, the technology is successfully emerging as one of the key drivers in the healthcare industry.
A Detailed Insight into CRM’s Potential

First, with the help of CRM data, one can surely change information, images on the website as well as on all the social campaigns. Apart from this, for better customer experience such technology always ends up offering a more diverse set of behaviors and real-time insights so that professionals can track data in a more timely manner.

Second, improving patient’s acquisition rates and driving revenue becomes pretty easy. Choose a CRM that is capable enough to solve a broader set of business problems for your organization. It may quite interest you to know that CRM can be used:

- To drive cross-sell opportunities for services
Improve consumer lifetime value with more personalized and relevant interactions
- Expand referrals across service lines
- Close gaps in retention rate by understanding where your consumer experience touch points need help

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Les applications et objets connectés de santé encore peu utilisés par les malades chroniques

Les applications et objets connectés de santé encore peu utilisés par les malades chroniques | eHealth mHealth HealthTech innovations - Marketing Santé innovant | Scoop.it
Si une majorité des malades chroniques ont déjà utilisé un service de prise de rendez-vous en ligne, ou consulté un site d'information santé sur internet, ils sont encore peu nombreux à utiliser des applications mobiles et objets connectés pour suivre leur maladie, selon les résultats d'une enquête réalisée par la société B3TSI publiés le 7 septembre.

Cette enquête a été réalisée du 3 au 12 juillet 2018 auprès de 501 répondants issus du "Chronic Panel", base de 25.000 personnes atteintes d'une ou plusieurs maladies chroniques construite par B3TSI pour mener ses études de marché santé.

Selon ses résultats, seuls 18% des insuffisants cardiaques et 11% des patients souffrant de spondylarthrite ankylosante ont déjà utilisé une application de santé. Aucun patient atteint de broncopneumopathie chronique obstructive (BPCO) ou de polyarthrite rhumatoïde n'a déclaré avoir recours à ces outils.

Les usages des objets connectés sont également faibles. Ils concernent 12% des diabétiques interrogés, 5% des hypertendus et des migraineux, et 2% des patients atteints d'un cancer.

Ces chiffres sont à mettre en regard avec les autres pratiques numériques des malades chroniques, beaucoup plus développées. L'étude de B3TSI constate ainsi que les sites internet sont consultés par une large majorité des patients (90% des personnes atteintes de splondylarthrite ankylosante, 76% en cas de cancer, 75% pour les diabétiques).
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Téléconsultation : comment et combien payerez-vous votre médecin ?

Téléconsultation : comment et combien payerez-vous votre médecin ? | eHealth mHealth HealthTech innovations - Marketing Santé innovant | Scoop.it
Voilà qui pourrait simplifier la vie de nombreux malades, surtout ceux résidant dans des zones de désert médical. A partir du 15 septembre, vous pourrez consulter un médecin à distance dans toute la France. Concrètement, comment ces consultations auront-elles lieu et combien vous coûteront-elles ?

Premièrement, il est important de savoir que tout médecin, quelles que soient sa spécialité et sa géolocalisation, peut recourir à la téléconsultation et ce, pour tout patient résidant en France, s’il estime ce mode de consultation approprié.

Après que vous ayez pris rendez-vous en ligne, votre médecin traitant, ou le médecin spécialiste vers lequel il vous a orienté, vous informera s’il trouve la consultation en ligne pertinente ou non en fonction de votre cas. S’il est d’accord pour une téléconsultation, vous recevrez un lien sécurisé par mail. Vous devrez alors cliquer dessus et pourrez vous entretenir avec le docteur via la webcam de votre ordinateur, d’une tablette ou d’un smartphone.
Dépassements d'honoraires possibles

"Le patient peut aussi être orienté vers une cabine ou un chariot de consultation installé à proximité", explique l’Assurance Maladie dans un communiqué de presse. "Ces équipements sont déjà actuellement en cours de déploiement dans les maisons de santé, les pharmacies et d’autres lieux publics". Au cours de la consultation, le patient, surtout s’il est âgé ou fragile, pourra se faire assister par un professionnel de santé (infirmière ou pharmacien).

A la fin du rendez-vous, le médecin vous enverra si nécessaire une ordonnance par mail ou par courrier postal. Il rédigera également un compte rendu qu’il archivera dans son dossier patient confidentiel. Concernant le règlement, vous payerez la consultation par chèque, virement bancaire ou paiement au ligne au même tarif qu’une consultation classique, selon la spécialité du médecin et son secteur (23 euros pour un généraliste de secteur 1, par exemple). En effet, là aussi, les médecins libéraux peuvent facturer un dépassement d’honoraires dans les conditions habituelles.
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As market pressures loom, healthcare giant Cigna launches a $250 million venture fund

As market pressures loom, healthcare giant Cigna launches a $250 million venture fund | eHealth mHealth HealthTech innovations - Marketing Santé innovant | Scoop.it
If you don’t think the healthcare market is prepping for the radical transformations that remote care, persistent diagnostics, as well as and monitoring and improving targeted treatments are going to bring to the industry, think again.

Healthcare companies are steeling themselves for the shift in healthcare services in the most desperate way they can — by launching venture funds. The latest to make the move is Cigna, the multi-billion-dollar healthcare insurer which is now launching a $250 million venture fund called Cigna Ventures.

Starting a venture fund has often been the last, worst best hope of corporations that have been overtaken by dramatic changes in technological platforms. At the tail end of the last internet bubble, as everything was about to fall apart, big companies began to realize that technology was bringing hordes of new barbarians to the gate. And they swung into action to finance these companies, and get a window into them, even as the hordes were immolating themselves on pyres of wasted cash and incomprehensible business models.

This time, corporations in industries like health insurance may not have the luxury of startup ignorance to protect them from the slow march of progress.

The mighty combination of Amazon, Berkshire Hathaway and JP Morgan Chase loom large in the visions (or nightmares) of healthcare services providers — and the potential for a single-payor healthcare system in the U.S. can’t be far behind. And while one (ahem… single payor) is almost surely the stuff of nightmares, the announcement of a new chief operating officer is making the venture increasingly real.
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AI predicts risk of death from heart disease more accurately than experts

AI predicts risk of death from heart disease more accurately than experts | eHealth mHealth HealthTech innovations - Marketing Santé innovant | Scoop.it
Scientists have designed a model using Artificial Intelligence that can predict risk of death in patients with coronary heart disease (CHD) better than expert-constructed models.

According to a new study published in PLOS One, scientists from the Francis Crick Institute, working with University College London Hospitals NHS Foundation Trust and the Farr Institute of Health Informatics Research, developed the AI model using the data of 80,000 patients, available for researchers through UCL’s CALIBER platform, which links four sources of electronic health data in England.

The model that the AI one was compared to made predictions based on 27 variables chosen by medical experts, while the Crick team got their AI algorithms to train themselves, look for patterns and select the most relevant variables from a set of 600.

Both machine learning and AI are picking up steam in healthcare, with hospitals testing or deploying the tech for a range of use cases from treating patients with pancreatic cancer to reducing surgical site infections while experts are saying the next generation of clinical decision support tools will include AI in workflow to improve diagnostics, imaging, radiology and pathology, among other functions.

Consultancy McKinsey said last month that hospitals need a solid digital base comprising a modern infrastructure with cloud, mobile and web capabilities in place before starting down the road to AI and machine learning.
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Patient Verification and The State of Blockchain Adoption with Shyft Network CEO Bruce Silcoff

Patient Verification and The State of Blockchain Adoption with Shyft Network CEO Bruce Silcoff | eHealth mHealth HealthTech innovations - Marketing Santé innovant | Scoop.it
From prior authorization to cannabinoid oil, Medgadget has recently covered a range of companies leveraging blockchain technology to impact one or more aspects of healthcare. For this piece, similar to our conversation with technology thought leader David Houlding, we wanted to take a step back and look at the bigger picture. How broadly is blockchain being adopted, what are enterprise healthcare organizations using it for, and where are we in the adoption cycle of this promising, yet unseasoned technology? To answer these questions and more, Medgadget heard from Bruce Silcoff, CEO of Shyft Network. Bruce also shared some insight into Shyft’s efforts to build a blockchain-based network for data protection that sets new standards for Know Your Customer (KYC) and Anti Money Laundering (AML) while reducing the cost of verification. Check out Shyft’s white paper for more details.
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SANTÉ et ENVIRONNEMENT : Le tracker qui repère les bactéries, les cellules et les particules

SANTÉ et ENVIRONNEMENT : Le tracker qui repère les bactéries, les cellules et les particules | eHealth mHealth HealthTech innovations - Marketing Santé innovant | Scoop.it

Fréquence cardiaque et mesures de l’activité physique, mais ce n’est pas tout ce que permet ce tracker de nouvelle génération. C’est à nouveau la technologie des biocapteurs flexibles qui est mise à profit avec ce développement d’une équipe de la Rutgers University (New Jersey), présenté dans la revue dans Microsystems & Nanoengineering, d’un tracker intelligent capable de signaler les expositions environnementales en plus de suivre les principaux marqueurs de santé, y compris certains marqueurs sanguins.

Le bracelet dispose aussi d’une connexion sans fil au smartphone, qui permet la surveillance et l’enregistrement des données de santé et de l’environnement. Il ressemble aux autres trackers mais possède un biocapteur capable de compter les particules internes et externes, c’est-à-dire les particules organiques ou inorganiques présentes dans l'air mais aussi les bactéries ou les différents types de cellules présentes dans la circulation sanguine, explique l’auteur Mehdi Javanmard, du département Ingénierie de la Rutgers.

Un tracker de nouvelle génération : ce bracelet en plastique comprend un circuit imprimé flexible et un biocapteur à canal ou tuyau plus fin que le diamètre d'un cheveu humain avec des électrodes en or intégrées à l'intérieur. Il dispose d'un circuit pour traiter les signaux électriques, d'un microcontrôleur pour la numérisation des données et d'un module Bluetooth pour transmettre les données sans fil. Les échantillons de sang sont obtenus par micro-piqûres, le sang étant injecté dans le canal et les cellules sanguines comptées. Les données sont envoyées en wifi vers un smartphone Android avec une application qui traite et affiche les données ; la technologie peut également fonctionner dans les iPhones ou tout autre smartphone.

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When knowledge drives results: the impact of a winning data strategy

When knowledge drives results: the impact of a winning data strategy | eHealth mHealth HealthTech innovations - Marketing Santé innovant | Scoop.it

Having an effective clinical trial data strategy in place can make the difference between success and an expensive failure for a pharma company. pharmaphorum’s Richard Staines spoke to Cytel’s global head of data management Paul Fardy to find out how.

Convincing regulators to approve drugs has never been easy, with billions of dollars spent each year to generate the clinical evidence required to clear the multiple safety and effectiveness hurdles.

Many people have hailed the era of big data as a turning point for pharma, with the latest technology allowing for an increasingly granular and detailed read-out of a drug’s performance in clinical trials. But with great insights comes great quantities of data and managing the vast amount of information generated by a study can be difficult.

Enter Cytel, a global provider of innovative analytical software and clinical research services that is trying to change the way pharma thinks about its clinical data strategy, an element of planning that all too often is decided too late in development. That, in turn, puts trials and large amounts of investment at risk, along with the time, effort, bravery and sacrifice of the patients involved.

Cytel’s Paul Fardy told pharmaphorum that important changes need to be made – including getting down to brass tacks as early as possible and defining what data is being collected and the kind of standards that must be applied.

Without changes to the process, a large trial can all too easily run into difficulties and even fail, putting a pharma company’s regulatory filings or business development plans in jeopardy.

He said: “The ultimate risk is failure to get approval of a potentially effective drug that may have benefited patients. If you are in a smaller company, the objective is often to get a drug licensed by a larger company. The risk here is that you are not going to get the opportunity to get that drug taken on by a larger company.”

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A few of the most interesting startups LAUNCH-ing at Health 2.0

A few of the most interesting startups LAUNCH-ing at Health 2.0 | eHealth mHealth HealthTech innovations - Marketing Santé innovant | Scoop.it

Every year Health 2.0 offers a chance for early stage digital health companies to rocket into public view through its LAUNCH! event, which spotlights 10 companies in front of hundreds of investors, executives and healthcare stakeholders.

Here a few of the most promising companies from this year’s event which are focused on problems ranging from multiple sclerosis to home care workers.

BeCareLink is a New York-based company that is attempting to improve the care of elderly patients at risk of falling as well as the 400,000 people suffering from multiple sclerosis in the United States, using a platform where patients can track themselves doing cognitive tests and send that info back to providers. CEO Alan Gilbert demonstrated some of the various assessments which include tracking a finger along a path, transcription tasks and mental confusion tests. Clinicians are able to see test results as well as data analytics which can help predict patients moving from mild to moderate to severe disease states. A clinical trial testing the company’s technology is expected to be released in the next few months.

Tag.bio is a way for regular users to build and perform their own data queries using claims data. The San Francisco-based startup’s technology is trying to simplify complex data analysis with an easy-to-use analytics platform that enables physicians and administrators to quickly find insights about patients, procedures and costs. CEO Tom Covington demonstrated the technology’s ability to analyze cost drivers, find KPIs and bubble up what differentiates different providers. Tag.bio’s technology is currently been piloted at the University of California, San Francisco Medical Center.

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Livongo touts first connected BP monitor

Livongo touts first connected BP monitor | eHealth mHealth HealthTech innovations - Marketing Santé innovant | Scoop.it

The cellular-enabled monitoring system allows blood pressure data to transfer seamlessly to the Cloud. Based on their blood pressure data and trends, users receive personalized, insight-driven alerts, messaging and virtual coaching from licensed professionals certified in chronic-condition management

Livongo introduced its combined hypertension and diabetes solution in January 2018. In the initial cohort of people who have both diabetes and hypertension, 81% reduced their blood pressure, according to the company study and one published in the New England Journal of Medicine. Individuals with mean blood pressures greater than 130/80 decreased their systolic blood pressure by nine mmHg on average, lowering their risk of stroke and heart attacks by at least 35% and 25%, respectively. Participants gave the product high ratings and early adopters reported 60% of eligible members enrolled in the program in the first 30 days


Via Annick Valentin Smith
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ESC 2018 : La fibrillation atriale diagnostiquée par smartphone

ESC 2018 : La fibrillation atriale diagnostiquée par smartphone | eHealth mHealth HealthTech innovations - Marketing Santé innovant | Scoop.it
L’étude Digital-AF propose de mettre à contribution les smartphones pour diagnostiquer la fibrillation atriale (FA).

Un lien pour une application disponible gratuitement sur smartphone, FibriCheck, a été proposé par des spécialistes de l’université belge de Hasselt aux lecteurs d’un journal local. L’application permettait aux volontaires, ayant répondu, (pas moins de 12 328), d’enregistrer par photopléthysmographie en dirigeant la caméra du smartphone sur leur cœur leur rythme cardiaque (à la fréquence conseillée de 2 fois/j pendant une semaine) et de signaler d’éventuels symptômes (palpitations…), en rapport avec une FA. Les signaux pléthysmographiques ont été analysés par des techniciens, sous la supervision de cardiologues.

Au total, 1,1 % des sujets ont été considérés comme porteurs d’une FA. Chez ces 136 patients d’âge moyen 62 ans, la FA était dans près de 3 cas sur 4 paroxystique, et dans 76 % des cas asymptomatique. Près d’une fois sur 3, l’existence de la FA était auparavant ignorée.
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At Montefiore, Artificial Intelligence Becomes Key to Patient Care

At Montefiore, Artificial Intelligence Becomes Key to Patient Care | eHealth mHealth HealthTech innovations - Marketing Santé innovant | Scoop.it

Artificial intelligence (AI) is the newest must-have technology for healthcare organizations seeking to get ahead of costly and clinically dangerous patient care issues while also gaining a competitive edge over their peers.

Interest from provider groups is on the rise as machine learning strategies become increasingly sophisticated.

Pilot projects and limited deployments are popping up all over the industry, yet many organizations are tangled in an ongoing struggle to convince skeptical executives to move beyond one-off use cases and embrace AI as an overarching organizational philosophy.

At Montefiore Health System, however, the motto is “full steam ahead.”

For more than three years, Montefiore has been committed to developing a complex, overarching artificial intelligence framework that leverages a massive data lake, cutting-edge infrastructure, and graph databases to inform predictive analytics algorithms targeted to a number of high-value use cases that directly impact patient care.

The result isn’t just a new screen in the EHR with a risk score and an extra to-do list – it’s a full commitment to a core mission of using all available data to support timely, accurate, proactive decisions across as many clinical realms as possible.

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How the FDA is shaping healthcare innovation

How the FDA is shaping healthcare innovation | eHealth mHealth HealthTech innovations - Marketing Santé innovant | Scoop.it
In many ways the gatekeepers of healthcare innovation and advancement in the US, the FDA is key in shaping the future of the healthcare industry both in America and abroad. When it comes to the digital space the FDA has been evolving both in the way technology is approved and vetted.

Over the last year FDA Commissioner Scott Gottlieb has put an emphasis on speeding up the process in getting technology and medications out to the public. This is evidenced by the new Pre-Cert program which would uproot the way software as a medical device is regulated, with the possibility of deeming a company safe instead of focusing on each individual product.

Here is a look at some of the biggest news out of the FDA in the last year:


Fast track to innovation? FDA’s Pre-Cert program

The FDA first introduced the idea for the Pre-Cert program in August of 2017, which proposes to allow certain companies that the FDA has deemed responsible and safe in their development to build products without each new device undergoing the FDA clearance or approval process. This was followed by the launch of a pilot program, where nine companies of various sizes began developing programs using this pathway.

Big names like Johnson & Johnson, Apple and Fitbit were among the first companies to go through the Pre-Cert program. But it also included up and coming players in the field like Pear Therapeutics, which is working on a digital therapeutic to treat opioid addiction, and smaller entities like Tidepool, which helps people with diabetes track their patterns.

“Because of software’s faster iterative design, development, and validation, traditional implementation of the premarket requirements may impede or delay patient access to advances in software technology that would improve public health,” the FDA wrote in a Pre-Cert update ahead of the workshop in February. “Since issuing the action plan, we have partnered with a range of digital health software companies and other stakeholders to begin developing a precertification program that could replace the need for a premarket submission for certain medical software products and allow for a streamlined review of marketing submissions for others.”

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Dataset Search, le moteur de recherche de Google pour les données scientifiques

Dataset Search, le moteur de recherche de Google pour les données scientifiques | eHealth mHealth HealthTech innovations - Marketing Santé innovant | Scoop.it

Avec son nouvel outil de recherche Dataset Search, Google veut faciliter l'accès aux bases de données open source. Une démarche louable mais, pour l'instant, encore très incomplète.

Après Google News, Google Images ou Google Books, Google s'attaque au big data avec le lancement, mercredi 5 septembre, d'un nouveau moteur de recherche baptisé Dataset Search. Destiné en premier lieu aux scientifiques et aux datajournalistes, il indexe les bases de données open source issues de sites publics, d'universités ou d'organisations, comme la Nasa ou le site français data.gouv.fr. On peut ainsi y trouver le séquençage ADN d’une protéine, la collection des photos prises par le robot Mars Curiosity ou les relevés historiques de température de la surface de l'océan. Pour chaque résultat, Google Dataset Search affiche une description détaillée du jeu de données avec le producteur, la licence, le format et un résumé du contenu.

L'objectif de Google est de rendre les données scientifiques « aussi accessibles que les recettes de cuisine, les offres d'emplois... ». Dans un premier temps, Google va surtout répertorier les données sur l'environnement, les sciences sociales et celles issues des services publics. Cette démarche s'inscrit dans une volonté générale de Google de simplifier l'accès aux données scientifiques. En 2004, il avait ainsi lancé Google Scholar, un moteur de recherche inventoriant les publications scientifiques (articles, livres, thèses...).

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Le groupe hospitalier CHIREC va utiliser des casques de réalité virtuelle pour aider les patients anxieux 

Le groupe hospitalier CHIREC va utiliser des casques de réalité virtuelle pour aider les patients anxieux  | eHealth mHealth HealthTech innovations - Marketing Santé innovant | Scoop.it

Un dispositif médical combinant des techniques psychologiques scientifiquement validées, telles que l’hypnose clinique et la réalité virtuelle pour aider les patients à gérer leur anxiété et leur douleur, a été mis sur pied par la société belge Oncomfort. Le  groupe hospitalier belge CHIREC dispose actuellement de deux dispositifs, onze autres ont été commandés.


Via Philippe Marchal
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Why a new Apple Watch with EKG matters

Why a new Apple Watch with EKG matters | eHealth mHealth HealthTech innovations - Marketing Santé innovant | Scoop.it
The Apple Watch Series 4 will include a more advanced heart-monitoring technology called electrocardiogram. This feature has received clearance from the US Food and Drug Administration, meaning it can be used as a medical device — a move that is part of Apple’s increasing push to brand the Watch as more than a fitness device.

The Apple Watch Series 4 is the first major design overhaul of the Watch since its debut more than three years ago. The existing Apple Watch already had a way to measure heart rate, of course. Like most wearables, it monitors heart rate using green LED lights embedded in the device. The lights reflect on the skin to detect the pulse and changes in blood volume; this is turned into the heart rate number.

This method is convenient but indirect. Watches are convenient, but the wrist isn’t always the best place for taking accurate measurements this way because there are so many layers of tissue, and studies suggest this method isn’t very accurate.
"ekg is far more accurate than guessing based on pulse"

The electrocardiogram, or EKG (or ECG as Apple calls it), is much better, and there have long been rumors about Apple developing this feature. Though this is a new feature in the Watch itself, last year the FDA approved the AliveCor KardiaBand, a watch accessory that essentially does the same thing.
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Medical malpractice gets more confusing when machines are doctors

Medical malpractice gets more confusing when machines are doctors | eHealth mHealth HealthTech innovations - Marketing Santé innovant | Scoop.it

Medicine is an imprecise art, and medical error, whether through negligence or honest mistake, is shockingly common. Some experts believe it to be the third-biggest killer in the US. In the UK, as many as one in six patients receive an incorrect diagnosis from the National Health Service.

One of the great promises of artificial intelligence is to drastically reduce the number of mistakes made in the world of health care. For some conditions, the technology is already approaching—and in some cases matching and even exceeding—the success rates of the best specialists. Researchers at the John Radcliffe Hospital in Oxford, for instance, claim to have developed an AI system capable of outperforming cardiologists in identifying heart-attack risk by examining chest scans. The results of the study have yet to be published, but if the AI is indeed successful, the technology will be offered, for free, to NHS hospitals all over the UK. And this is just one of the latest in a string of successful medical image-reading AIs, including one that can diagnose skin cancer, another that can identify an eye condition responsible for around 10% of global childhood vision-loss, and a third that can recognize certain kinds of lung cancer.

That’s all great, but even if an AI is amazing, it will still fail sometimes. When the mistake is caused by a machine or an algorithm instead of a human, who is to blame?

This is not an abstract discussion. Defining both ethical and legal responsibility in the world of medical care is vital for building patients’ trust in the profession and its standards. It’s also essential in determining how to compensate individuals who fall victim to medical errors, and ensuring high-quality care. “Liability is supposed to discourage people from doing things they shouldn’t do,” says Michael Froomkin, a law professor at the University of Miami.

“We cannot have the ‘move-fast-break-things’ mantra of Silicon Valley in healthcare,” adds Matthew Fenech, a former NHS doctor and current AI policy researcher at think tank Future Advocacy. “We need to put patients and safety first.” Currently, AIs used in medicine are billed as “decision aides,” meaning they are intended (at least in legal terms) to complement, not replace, a specialist’s opinion. “To an extent this is an immunizing tactic, but really it’s saying we are expecting doctors to challenge decisions,” says Charlotte Tschider, a fellow in health and intellectual property law at DePaul University. “These devices aren’t positioned right now as supplanting knowledge.”

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Doctors Pair with Artificial Intelligence to Improve Pneumonia Diagnosis

Doctors Pair with Artificial Intelligence to Improve Pneumonia Diagnosis | eHealth mHealth HealthTech innovations - Marketing Santé innovant | Scoop.it
While AI may have a lot of potential to transform the future of medicine, humans are still much better at most complex intellectual tasks. The only thing that can be smarter than a human is a group of humans and new software from Unanimous AI, a company based in San Francisco, hopes to harness groups of doctors to improve the precision of diagnostic decisions.

The software, called Swarm AI, presented separate radiologists with chest X-rays of potential cases of pneumonia. The doctors answered questions regarding their findings and the results went into the software that supposedly uses some soft of artificial intelligence techniques to produce a result based on all the doctors’ findings.

The researchers that performed the study are presenting some findings at the 2018 Society for Imaging Informatics in Medicine’s Conference on Machine Intelligence in Medical Imaging (see abstract below). In summary, the average error rate using the Swarm AI system was 33% lower than diagnoses made by individual radiologists, while when comparing Swarm AI to CheXNet, a previously developed fully automated system from Stanford, the new software coupled with the doctors had a 22% higher accuracy rate.
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Digitising Continuing Healthcare from Hospital to Home

Digitising Continuing Healthcare from Hospital to Home | eHealth mHealth HealthTech innovations - Marketing Santé innovant | Scoop.it
Digitising paper and automating the workflow around the Continuing Healthcare (CHC) Assessment process promises to help reduce Delayed Transfers of Care (DTOC); improve the quality and reliability of patient service; and, drive-up productivity. An efficient, transparent and reliable approach to assessments will be fundamental to NHS England saving a forecasted £850 million from CHC spend by 2021, says IEG4’s Simon Williams

It’s a number of months since Matthew Swindells and Professor Jane Cummings from NHS England wrote to around 150 Clinical Commissioning Groups (CCGs) which were failing to achieve the national standards for decision making within the CHC service.

It’s fair to say, that with three quarters of NHS CCGs failing, the CHC assessment process urgently needed some management attention.

The national standards may not seem overly onerous in this digital age; however, CCGs are evidently struggling. Most cannot complete the required 80% of eligibility decisions within 28 days. Over 100 CCGs complete more than the permitted 15% of full assessments in an acute setting. As a result, Swindells and Cummings estimated that as much as 25% of the 2,500 DTOC days they sought to release from the system, could be attributed to inefficiencies in this one process.

A proper look under the bed covers reveals the major source of delay, inefficiency and process opacity. Paper. Lots and lots of paper. The lack of transparency makes paper-based processes virtually impossible to manage, particularly, when distributed across stakeholders and locations.

In a recent poll of CCGs attending an NHS England CHC event, almost half of the respondents stated that they still used the national paper forms. Some responded that they used digital templates of the paper forms, but, did not have workflow automation to provide process transparency. Other than the Cheshire and Wirral CCGs, who had just installed IEG4’s CHC2DST cloud-based solution, none were using a fully digital assessment tool.
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#PHARMA : on LEEM un peu, beaucoup, passionnément…pas du tout #hcsmeufr

#PHARMA : on LEEM un peu, beaucoup, passionnément…pas du tout #hcsmeufr | eHealth mHealth HealthTech innovations - Marketing Santé innovant | Scoop.it
Cette semaine est une semaine importante dans le microcosme de l’industrie pharmaceutique. Mardi 11 septembre sera élu(e) le nouveau (ou la nouvelle) président(e) du LEEM, l’organisation […]

Via Lionel Reichardt / le Pharmageek
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