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Physicians and social media: If you see something, say something?

Physicians and social media: If you see something, say something? | eHealth mHealth HealthTech innovations - Marketing Santé innovant | Scoop.it

Early this month, Joanna Gaines, co-host of HGTV’s popular “Fixer Upper,” shared her pregnancy news with the world via a baby bump photo and an ultrasound, both posted to Instagram. The congratulations began pouring in from excited fans. But the conversation took a dark turn when a physician commented that the ultrasound appeared to show that Gaines’s baby might have hydrops fetalis. This is a potentially fatal condition in which abnormal amounts of fluid build up in a developing baby’s body. Tabloids such as TMZ and the Hollywood Reporter ran stories about the potential problem.

Not that long ago, photocopying and sending news by mail limited the sharing of an ultrasound image of a developing baby with a few friends and family members. In the age of Facebook and Instagram, such images can be instantly shared with all of one’s social media followers, and their followers, and so on. Such images can go viral.

As practicing physicians and ethicists, that made us wonder: If we see something medically worrisome on social media, are we as doctors obliged to say something?

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Amazon Web Services: AI, data analytics and cloud are converging to drive down costs and boost care quality

Amazon Web Services: AI, data analytics and cloud are converging to drive down costs and boost care quality | eHealth mHealth HealthTech innovations - Marketing Santé innovant | Scoop.it
Healthcare companies are using artificial intelligence and machine learning, and then the cloud to better ingest, manage and leverage a variety of data – whether it is structured data, unstructured data or streams, to break down silos and enable data liquidity in support of collaborative research and care coordination.

"The cloud enables healthcare providers to scale up during peak demand periods, like flu season, and scale back down again when demand has ebbed," said Shez Partovi, director of worldwide healthcare and life sciences, business and market development at Amazon Web Services. "They can then process the data, apply deep learning, and visualize the data in order to make insightful decisions throughout a patient's care journey – or even throughout the research pipeline."

For instance, Orion Health hosts data for 50 million users on the AWS Cloud, enabling its customers to access patient information ranging from clinical information and genomics to claims and reimbursement data, Partovi added. In turn, providers can identify personalized treatment and prevention strategies and optimize clinical decision making.

"Additionally, AI and machine learning are providing the tools to process and analyze the increasing amount of data generated by doctors, hospitals, researchers and organizations, including structured data like EHR forms as well as unstructured data, such as emails, text documents and even voice notes," said Patrick Combes, technology leader, healthcare and life sciences, at AWS.
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How Chatbots and AI are Influencing the Healthcare Industry

How Chatbots and AI are Influencing the Healthcare Industry | eHealth mHealth HealthTech innovations - Marketing Santé innovant | Scoop.it
You click open the homepage of a product website and immediately a small chat window pops up from the bottom right corner. It is displaying the message “Hi, I am Janet. How may I assist you today?” A few years back, you would have been startled (and pleased) but now you just start typing in even though you know you are describing your problem to an artificial conversational entity – the chatbot.

Thanks to that marriage made in heaven between natural language processing and machine learning, the chatbots are getting to be more responsive, smarter and therefore more human-like in their conversational abilities. Moreover, being software which can crunch up loads of data in seconds, the chatbots are also superhuman – alert, data-driven, dedicated, untiring, reliable and most importantly, available 24/7. The bots are also free from the human flaws of laziness, prejudice, impulsiveness and most importantly (for the healthcare domain), carelessness.


Chatbots and Healthcare

Although chatbots in general, have taken the business world by storm, it is soon evident that where healthcare domain is concerned, chatbots are veritably bringing about a major paradigm shift.
And why?

The modern humans, while healthy, may favour solitude, immersing in social media and other technology based distractions but when down and ill, still crave for a sympathetic and reassuring voice and an attentive ear, not to say, someone to remember the suffering and remind and urge to take steps towards cure.

Except that, by now, as children of the on-demand, instant gratification culture, waiting is unacceptable. Hence, the chatbots - the ultimate in support and assistance for a not so narrow range of tasks traditionally performed by tier-1 patient engagement operatives. Comprised of just a few lines of code, the chatbot added as a contact in a person’s favorite social messaging application immediately adds that person into bot provider’s information network.

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FDA Clears RAPID AI Software for Selecting Stroke Victims for Clot Removal

FDA Clears RAPID AI Software for Selecting Stroke Victims for Clot Removal | eHealth mHealth HealthTech innovations - Marketing Santé innovant | Scoop.it

The U.S. Food and Drug Administration (FDA) has cleared iSchemaView’s RAPID neuroimaging platform for use in selecting acute stroke patients who are likely to benefit from endovascular thrombectomy, according to iSchemaView’s announcement today.

RAPID, developed by stroke experts, uses artificial intelligence (AI) framework that, according to iSchemaView, combines expert feature extraction and proprietary algorithms to identify stroke patients that should get their clot removed. The software aids clinicians in diagnosing and treating stroke victims more quickly.

Because of the clearance, RAPID computed tomography (CT)-Perfusion and RAPID magnetic resonance (MR)-Perfusion can be used by physicians to help select acute stroke patients with known obstruction of the internal carotid artery or proximal middle cerebral artery for a clot removal procedure.

According to the company, RAPID is the only imaging platform approved for selecting stroke patients for clot removal.

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Medtech therapeutic areas to track in 2019

Medtech therapeutic areas to track in 2019 | eHealth mHealth HealthTech innovations - Marketing Santé innovant | Scoop.it

Medtech trends today don't discriminate across health conditions. Patients have their pick of wristwear to measure stroke risk or blood pressure. One app tracks asthma and chronic obstructive pulmonary disease, another helps manage substance addictions, and a third connects patients and surgeons during post-operation recovery

While it seems like these consumer-oriented tech trends touch every corner of the industry, some therapeutic areas stand out as particularly poised for growth.

Chronic diseases present the biggest opportunities, said Glenn Snyder, medical technology sector leader at Deloitte, in an interview. He described a patient's "care journey" as segmented into stages of "well care," diagnosis, treatment decision, acute care itself, and chronic or post-acute care.

Whereas traditional therapeutic device companies typically have a stronghold on the acute treatment space, Snyder said much of the opportunity seen today by emerging medtech players seizes on either end of that spectrum: prevention and patient monitoring.

"The back end is where so much money is spent today in terms of chronic care, and it becomes a better return on investment," Snyder said. "There are still unmet needs in those areas for sure, so I think we'll continue to see more innovation in those spaces."

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Stanley Black & Decker Getting Into Healthcare: CES 2019

Stanley Black & Decker Getting Into Healthcare: CES 2019 | eHealth mHealth HealthTech innovations - Marketing Santé innovant | Scoop.it
The names Black & Decker and Stanley conjure thoughts of sawing wood planks, drilling holes, as well as mixing up dough for your secret bread recipe. They certainly don’t make one think of medical devices. But the joined company, called Stanley Black & Decker, now has a division called STANLEY Healthcare that already has a number of products designed specifically for use in clinics and by patients at home.

At CES 2019, the company was presenting its new Pria by BLACK+DECKER Home Care Companion, a smart device that can dispense medications at the right time and a digital voice assistant that can help with managing one’s health, scheduling tasks, and keeping in touch with caregivers should something happen.
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CES 2019: les dispositifs de la sleep tech en plein boom

CES 2019: les dispositifs de la sleep tech en plein boom | eHealth mHealth HealthTech innovations - Marketing Santé innovant | Scoop.it
Les dispositifs promettant de résoudre les troubles du sommeil, ou sleep tech, ont occupé une place importante au Consumer Electronics Show (CES), portés par la miniaturisation des technologies, l'intelligence artificielle (IA) et les potentiels débouchés économiques.

Qu'il s'agisse de grandes entreprises internationales comme Fitbit et Philips, ou de jeunes pousses françaises comme Dreem, UrgoTech et Dreaminzzz, les sociétés technologiques espérant capter une part du marché des troubles du sommeil étaient nombreuses à exposer leurs dispositifs au CES, qui s'est tenu du 8 au 11 janvier à Las Vegas.

Pour Charline Massari, responsable communication de Dreaminzzz, cela s'explique d'abord par la "taille immense" de ce marché.

Selon l'Institut national de la santé et de la recherche médicale (Inserm), 1 Français sur 3 est concerné par un trouble du sommeil et 45% des 25-45 ans estiment qu'ils dorment moins que ce dont ils ont besoin.

Fondé en 2015 par Guillaume Gautier, hypnothérapeute, Dreaminzzz propose un masque d'hypnose connecté à une application mobile pour aider à s'endormir, mais aussi adresser des problématiques de gestion du stress, de la douleur ou de l'anxiété. La société a commencé à commercialiser Hypnos il y a un an à un tarif de 199 euros, et revendique déjà plus de 10.000 utilisateurs.
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Les enjeux du big data sur le futur de la santé #esante #hcsmeufr #digitalhealth

Les enjeux du big data sur le futur de la santé #esante #hcsmeufr #digitalhealth | eHealth mHealth HealthTech innovations - Marketing Santé innovant | Scoop.it
A l’occasion de la conférence-débat « Big data et santé : regards croisés et perspectives », organisée le 10 janvier par La Tribune Toulouse en partenariat avec Roche, les acteurs de la eSanté ont mis en avant les bénéfices de la révolution IA liée à la médecine, mais aussi ses risques…

Comment utiliser efficacement les données de santé dans la révolution qu'apportent l'intelligence artificielle (IA) et le machine learning dans le domaine de la santé, tout en respectant la règlementation et les questions éthiques ? Telle était la principale question abordée par les intervenants de la conférence-débat organisée par La Tribune Toulouse en partenariat avec Roche ce jeudi 10 janvier au Meeting Lab sur le thème « Big data et santé : regards croisés et perspectives ».

 

En introduction, Bertrand Monthubert, conseiller régional en charge de l'enseignement supérieur et de la recherche a rappelé que la Région venait de lancer son portail Open data Occitanie. Il a souligné que la région disposait d'atouts clés dans ce domaine : de nombreux acteurs présents sur son territoire qui génèrent des données exclusives (le CNES, la géoplateforme de l'IGN, Airbus pour la mobilité...), le très bon niveau de recherche en IA et la présélection du projet toulousain parmi les premiers instituts interdisciplinaires d'intelligence artificielle (3IA). Pour Bertrand Monthubert, la plateforme Open data Occitanie est un « lieu qui permet de mutualiser de la donnée éthique » notamment dans le domaine de la santé, mais aussi de l'environnement.


Via Lionel Reichardt / le Pharmageek
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What Can Pharma Expect in 2019? #esante #digitalhealth #hcsmeufr

What Can Pharma Expect in 2019? #esante #digitalhealth #hcsmeufr | eHealth mHealth HealthTech innovations - Marketing Santé innovant | Scoop.it

For those of us that use the Gregorian calendar, this time of year is one for reflection. We look back at the year just gone and forward to the year to come and, armed with a list of best-self resolutions, we step into January full of hope and intention.

 

Like most years, 2018 was a busy one for the pharmaceutical industry – best characterized perhaps not as a year of radical change but as 12 months of under-the-surface action. (But if you disagree, please do let me know).

 

To this editorial team it appears that companies are starting to get to grips with some of the big trends that have swept the industry over the past few years. They have been busy seeking patient input ever more widely, plumbing the depths of real-world evidence, and grappling with the digital technology that is transforming all our lives, to name but three.

 

What will 2019 hold for our industry? It is a question we felt best answered by the people on the ground, the ones doing the actual work that powers the engine of pharma. So, we reached out to those who have contributed to eyeforpharma articles and white papers this year and asked them to name one, and just one, issue or trend they felt would have the greatest impact on the industry this year.


Via Lionel Reichardt / le Pharmageek
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CES 2019: ExactCure sécurise l'usage du médicament grâce à la biomodélisation

CES 2019: ExactCure sécurise l'usage du médicament grâce à la biomodélisation | eHealth mHealth HealthTech innovations - Marketing Santé innovant | Scoop.it

La start-up ExactCure a présenté au Consumer Electronics Show (CES), qui s'est tenu la semaine dernière à Las Vegas, une application modélisant l'action d'un médicament sur le "jumeau digital" d'un patient afin de sécuriser la prise de traitements, et travaille déjà avec plusieurs établissements et industriels de santé.

Créé en janvier 2018, ExactCure allie mathématiques, biologie et informatique pour simuler l'effet d'un médicament sur un patient en fonction de ses caractéristiques personnelles, de son état de santé et des autres traitements qu'il a pu prendre dans la journée.

Cette biomodélisation est fondée sur les "modèles pharmacocinétiques des médicaments", qui sont notamment publiés par les industriels pour obtenir des autorisations de mise sur le marché (AMM), a expliqué à TICpharma Fabien Astic, cofondateur d'ExactCure avec deux anciens ingénieurs de Dassault Systèmes, Frédéric Dayan et Sylvain Benito.

"Notre savoir-faire consiste à créer des 'métamodèles' sur la base de plusieurs modèles mathématiques existants, et d'y accoler des caractéristiques propres à un patient pour diminuer l'incertitude quant à l'action du médicament", a-t-il résumé, rappelant que "la médication inappropriée tue cinq fois plus que les accidents de la route en France".

Présentée dans une version bêta au CES, l'application d'ExactCure pourra être utilisée par un patient sur ordinateur ou sur smartphone. Elle lui propose de créer son "jumeau digital" en saisissant plusieurs informations comme son poids, sa taille et son âge.

L'utilisateur peut ensuite indiquer les médicaments qu'il compte prendre et leur dosage, et l'application simule la durée de leur action sous la forme d'une horloge colorée du bleu au rouge, les zones rouges indiquant un risque de toxicité.

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NCI: Deep Learning Beats Humans at Detecting Start of Cervical Cancer

NCI: Deep Learning Beats Humans at Detecting Start of Cervical Cancer | eHealth mHealth HealthTech innovations - Marketing Santé innovant | Scoop.it

An artificial intelligence (AI) tool was able to analyze digital images of a woman’s cervix and identify precancerous changes with more accuracy than human experts.

Developed by researchers from the National Cancer Institute (NCI) and Global Good, the algorithm has the potential to improve cervical cancer screenings, particularly in low-resource settings.

To train the deep learning tool, the team used more than 60,000 cervical images collected during a cervical cancer screening study in Costa Rica in the 1990s.

More than 9400 women participated in that study, with follow-up that lasted 18 years. Researchers gained nearly complete information on which cervical changes developed into precancers and which did not.

Researchers digitized the images and used them to develop the deep learning model so that it could distinguish which cervical conditions required treatment.

When applied to cases diagnosed in the Costa Rica study, the AI tool outperformed all standard screening tests, achieving an area under curve of 0.91. In comparison, human expert review achieved an AUC of 0.69, and conventional cytology yielded an AUC of 0.71.

“Our findings show that a deep learning algorithm can use images collected during routine cervical cancer screening to identify precancerous changes that, if left untreated, may develop into cancer,” said Mark Schiffman, MD, MPH, of NCI’s Division of Cancer Epidemiology and Genetics, and senior author of the study.

“In fact, the computer analysis of the images was better at identifying precancer than a human expert reviewer of Pap tests under the microscope (cytology).”

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The winners and losers from JPM 2019

The winners and losers from JPM 2019 | eHealth mHealth HealthTech innovations - Marketing Santé innovant | Scoop.it

This year's J.P. Morgan Healthcare Conference proved to be a salve for biotech's recent woes.

Fueled by two major buyouts, shares in most drugmakers rose over the course of the four-day meeting, reversing a stock slide that weighed down the sector in the waning months of 2018.

Prospects for further dealmaking, coupled with clinical progress in oncology and other key areas, could help keep momentum riding high.

Still, the industry's problems haven't disappeared, and may even redouble in 2019 as a new Democratic House of Representatives seeks to up scrutiny on drug price increases.

A partial government shutdown adds a wrinkle, too, impacting the Food and Drug Administration's ability to review new drugs.

Winners
Loxo Oncology (and other biotechs like it)

Loxo's journey from formation to buyout was swift and, in a period of surging investment in cancer drugs, perhaps predictable.

Eli Lilly's $8 billion acquisition of Loxo, announced at the start of JPM, follows a roughly similar sized deal for Tesaro by GlaxoSmithKline and Bristol-Myers Squibb's industry-shaking buy of Celgene.

Underpinning all three is an industry-wide push into oncology, making approved cancer drugs like Loxo's Vitrakvi attractive.

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L’e-santé française s’expose au CES de Las Vegas

L’e-santé française s’expose au CES de Las Vegas | eHealth mHealth HealthTech innovations - Marketing Santé innovant | Scoop.it
Au Consumer Electronics Show (CES) de Las Vegas (Nevada), qui s’est tenu jusqu’au vendredi 11 janvier, l’innovation n’est, heureusement, pas seulement au service du divertissement, de télévisions toujours plus grandes ou de casques audio plus performants. Les progrès de la technologie s’y révèlent également en faveur de causes plus utiles telles que l’e-santé. Dans cette catégorie, plusieurs start-up françaises ont pu y présenter des solutions intéressantes de prévention ou de suivi des pathologies.

Parmi les acteurs les plus connus, le fabricant de montres connectés Withings a notamment dévoilé le BPM Core, un brassard associant tensiomètre, électrocardiogramme et stéthoscope électronique. L’entreprise française, qui était, un temps, passé dans le giron de Nokia, a également présenté une montre permettant de réaliser des électrocardiogrammes, dont la précision est censée permettre de détecter les épisodes de troubles du rythme cardiaque.

Derrière cette société déjà bien installée de la santé connectée, des start-up tricolores sont venues tenter leur chance : Healsy avec une solution de prédiction de glycémie pour les diabétiques, WitMonki, qui développe un outil de suivi des troubles du rythme cardiaque de la taille d’une carte de crédit, Devinnova, qui propose un pack de monitoring des systèmes vitaux à partir d’un dispositif appliqué pendant une semaine sur le plexus, et bien d’autres encore…
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CES 2019: les industriels appellent à la rationalisation de l'usage des données de santé

CES 2019: les industriels appellent à la rationalisation de l'usage des données de santé | eHealth mHealth HealthTech innovations - Marketing Santé innovant | Scoop.it
Jessica Mega, directrice médicale de Verily, filiale spécialisée dans les sciences de la vie du groupe Alphabet (dont fait partie Google), Amy McDonough, directrice du développement de Fitbit Health Solutions, et Eddie Martucci, cofondateur d'Akili Interactive, société spécialisée dans les jeux vidéo thérapeutiques, ont été invités à partager leur vision du futur de la santé connectée à l'occasion du Digital Health Summit organisé dans le cadre du CES 2019 (lire dépêche du 21 décembre 2018).

Ils ont tous pointé la quantité massive de données de santé aujourd'hui enregistrées grâce à plusieurs dispositifs, médicaux ou non, comme les traqueurs d'activité, les applications mobiles et les objets connectés de santé.

Depuis sa création en 2007, Fitbit a collecté des données concernant 7,5 milliards nuits de sommeil, plus de 9.000 milliards de données de fréquence cardiaque et 157.000 milliards de pas effectués par les quelque 25 millions d'utilisateurs de ses produits dans 87 pays.

"Grâce à ces données, nous sommes désormais capables de passer du monde du bien-être à celui de la santé, et d'adresser les problématiques propres à certaines maladies chroniques comme le diabète, les troubles du sommeil ou les maladies cardiovasculaires", a souligné Amy McDonough.

Dans cette optique, Fitbit a ouvert en septembre 2018 la plateforme Fitbit Care, qui entend rassembler ces données pour fournir des conseils personnalisés aux utilisateurs de ses dispositifs connectés, les mettre en relation avec des "coachs de santé", améliorer la gestion de leur maladie et agir sur la prévention, a-t-elle expliqué.

Selon elle, le défi des prochaines années consistera à "trouver le bon équilibre" entre les messages délivrés automatiquement par la plateforme en fonction des données collectées, et l'intervention humaine d'un coach ou d'un professionnel de santé pour "fournir le meilleur soin au bon moment".
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AI in healthcare - not so fast? Study outlines challenges, dangers for machine learning

AI in healthcare - not so fast? Study outlines challenges, dangers for machine learning | eHealth mHealth HealthTech innovations - Marketing Santé innovant | Scoop.it
Despite being touted as next-generation cure-alls that will transform healthcare in unfathomable ways, artificial intelligence and machine learning still pose many concerns with regards to safety and responsible implementation.

BMJ Quality and Safety has published a new study that identifies short-, medium- and long-term issues that machine learning will encounter in the healthcare space – hurdles that could prevent its successful implementation in a wide are of use cases.

With everything at stake, from research and clinical guidance to direct control of critical patient safety equipment (although that is still in the future), these strata of concerns suggest that there are many challenges AI and machine learning applications will need to address as they become more ubiquitous in healthcare.

WHY IT MATTERS
Those applications are oftten hamstrung by the same problems almost every computing task is: the computer does exactly what is told, which can invite or exacerbate unintended consequences. BMJ surveyed various applications that are currently in use, as well as those on the near horizon and beyond.
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Change Healthcare, Health Fidelity Apply AI to Risk Adjustment

Change Healthcare, Health Fidelity Apply AI to Risk Adjustment | eHealth mHealth HealthTech innovations - Marketing Santé innovant | Scoop.it

Change Healthcare and Health Fidelity have announced a collaboration to offer AI-driven risk adjustment coding solutions for Medicare Advantage, ACA commercial, and Medicaid payers.

The tool leverages natural language processing (NLP) and machine learning to increase the accuracy of claims and help health plans meet their compliance obligations.

By transforming the risk adjustment process from a manual task into an automated process, health plans will be able to ensure that coding is accurate and complete, the companies said.

“Risk adjustment requires a high level of clinical data acquisition and careful analysis of millions of medical records to assign the proper diagnosis code to claims,” said Doug Duskin, senior vice president and general manager, Clinical Review, Change Healthcare.

“Health Fidelity’s NLP engine has demonstrated very high sensitivity in identifying ICD and HCC codes, enabling their clients to realize a 20-30 percent increase in risk capture. This added capability is exciting as we expect it will lead to better gap closure and improved quality of care and outcomes for members.”

The two companies will offer a single enterprise solution that combines analytics, chart retrieval, coding, and submission. Artificial intelligence will help select high-risk charts for further review.

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GE Healthcare partners with Vanderbilt on AI-based immunotherapy guidance and diagnostics

GE Healthcare partners with Vanderbilt on AI-based immunotherapy guidance and diagnostics | eHealth mHealth HealthTech innovations - Marketing Santé innovant | Scoop.it

GE Healthcare is teaming up with Vanderbilt University Medical Center to develop more precise cancer immunotherapy diagnostics that use artificial intelligence to predict both efficacy and potential side effects.

The five-year partnership will aim to produce multiple diagnostic tools, using anonymized demographic, genomic, tumor, cellular, proteomic and imaging data from thousands of VUMC cancer patients.

“This partnership is a great example of the increasing convergence of the tools, technologies and data used by therapy innovators and healthcare providers,” said GE Healthcare’s president and CEO, Kieran Murphy.

The two aim to make the first analytics application prototype available by the end of 2019.

“Immunotherapy offers tremendous promise but given the current unpredictability of some patients’ reactions to treatments, it is also associated with increased morbidity and cost,” added Jeff Balser, president and CEO of Vanderbilt University Medical Center and dean of the Vanderbilt University School of Medicine.

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Fitbit launches bring-your-own-device program for the NIH’s All of Us megastudy

Fitbit launches bring-your-own-device program for the NIH’s All of Us megastudy | eHealth mHealth HealthTech innovations - Marketing Santé innovant | Scoop.it

Fitbit and the National Institutes of Health (NIH) have launched a bring-your-own-device project for participants in the All of Us research program, with its first foray into wearables and digital health technology being led by Scripps Research.

Fitbit users that are currently enrolled in the Precision Medicine Initiative program can now sync their accounts and share their data with NIH researchers, including readouts of physical activity, heart rate, sleep quality and health outcomes. The device will not be required to participate.

The All of Us program launched nationwide in May 2018 with the goal of enrolling at least one million people. It aims to support a wide range of studies by building one of the largest and most diverse datasets based on individual lifestyles, environmental factors and genetics. Participants will share different types of health information through surveys, electronic medical records, biological samples and digital health tracking.

“Collecting real-world, real-time data through digital technologies will become a fundamental part of the program,” Eric Dishman, director of the All of Us program, said in a statement.

“This information in combination with many other data types will give us an unprecedented ability to better understand the impact of lifestyle and environment on health outcomes and, ultimately, develop better strategies for keeping people healthy in a very precise, individualized way,” Dishman said.

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Walgreens and Microsoft partner on healthcare delivery innovation

Walgreens and Microsoft partner on healthcare delivery innovation | eHealth mHealth HealthTech innovations - Marketing Santé innovant | Scoop.it

As the impending threat of Amazon’s healthcare disruption moves closer to reality, traditional healthcare players are attempting to see what competitive advantage can be gained by boosting their technology prowess through partnership.

Case in point: Walgreens Boots Alliance Inc., one of the country’s largest pharmacy chains, has teamed up with tech giant Microsoft as part of an effort to innovate new, more integrated, healthcare delivery models using technology.

The 7-year strategic partnership is meant to combine Microsoft’s AI and cloud infrastructure with Walgreens’ retail footprint and outpatient services to create new tech-enabled ways of accessing and receiving care. In line with its innovation efforts, Walgreens will open up to 12 in-store “digital health corners” over the year focused on selling healthcare oriented devices.

One of the major initiatives of the partnership is giving Walgreens customers access on-demand virtual care and building the data infrastructure and pipelines to health information systems to allow clinicians to better support medication adherence, divert costly emergency room visits and reduce hospital readmissions.

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Les recherches Google aident à prévoir la grippe aux USA

Les recherches Google aident à prévoir la grippe aux USA | eHealth mHealth HealthTech innovations - Marketing Santé innovant | Scoop.it
Il n'est pas toujours facile de suivre la grippe en temps réel. En France, l'agence Santé Publique France est en mesure de faire paraître un bulletin épidémiologique hebdomadaire avec seulement 3 jours de décalage. Mais cette tâche est beaucoup plus ardue aux États-Unis de par l'ampleur de la population et la taille du pays. Le suivi de la grippe, État par État, peut ainsi avoir jusqu'à 2 semaines de retard sur l'épidémie !

Afin de disposer d'estimations fiables en temps réel, des chercheurs de l'hôpital pour enfants de Boston (Boston Children's Hospital) ont conçu un nouveau modèle prédictif qui se base sur deux modèles épidémiologiques mais aussi sur... plusieurs années de recherches sur Google ! Et ce pour un résultat beaucoup plus performant que Google Flu Trends, ancien service de prédiction de la grippe du moteur de recherche, interrompu en 2015 faute de résultats pertinents. Leurs travaux ont été publiés dans la revue Nature Communications.


Un modèle robuste qui intègre les recherche Google... mais pas seulement

La force du nouvel algorithme de prédiction développé par les chercheurs, baptisé ARGONet, tient à la diversité des sources de données utilisées. Le modèle se base sur les observations médicales historiques des cas de grippe ces 3 dernières années, mais aussi sur les requêtes saisies en rapport à la grippe sur Google, pour un emplacement donné. Il se base ainsi sur les mêmes données que feu Google Flu Trends... tout en faisant beaucoup mieux.

Car là où l'outil de Google pêchait par des erreurs de conception "évitables", ce nouvel outil recoupe au maximum les informations. L'algorithme de machine learning est ainsi entraîné en réinjectant continuellement les données épidémiologiques disponibles, même si elles datent de plusieurs semaines. De quoi progressivement minimiser l'erreur sur les prédictions.

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Social Media and the Spread of Misinformation: Taking Back Public Health

Social Media and the Spread of Misinformation: Taking Back Public Health | eHealth mHealth HealthTech innovations - Marketing Santé innovant | Scoop.it
The online spread of health-related misinformation has demonstrable negative effects on public health. Antivaccine discourse on social media, for example, has been cited as a contributing factor to the rising number of parents who refuse to vaccinate their children.1 Similarly, rumors that circulated on social media during the 2014 Ebola outbreak generated hostility toward healthcare workers, hindering efforts to contain the epidemic.2

In a viewpoint article published in JAMA, Wen-Ying Silvia Chou, PhD, MPH; April Oh, PhD; and William M.P. Klein, PhD, research scientists at the National Cancer Institute, described ways in which medical professionals can curb the spread of health-related misinformation.3

Misinformation is amplified within “information silos” and “echo [chambers],” the authors wrote. Social media feeds are “personally curated” by each individual, thus decreasing the likelihood that users will encounter viewpoints that differ from their own. Misinformation is easily amplified in these social media environments. Research also suggests that “falsehoods spread more easily than truths” on social media and other online forums.4 Mistrust in medical institutions further legitimizes health misinformation in online circles; according to a 2016 Gallup poll, just 36% of individuals expressed “adequate confidence” in the medical system.5 Additionally, a 2017 study suggested that 1 in 5 individuals express “skepticism about scientists” of any field.6 To mitigate the spread of misinformation, authors outlined guidelines for clinical practice, research, and public health.
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Blood pressure watches, sleep tech and more: CES 2019 was all about health

Blood pressure watches, sleep tech and more: CES 2019 was all about health | eHealth mHealth HealthTech innovations - Marketing Santé innovant | Scoop.it

With its abundance of companies promising to help you stay fit, eat healthier or measure your [insert whatever biometric reading here] more accurately, this year's CES evolved to be more like a MedTech conference instead.

And while health, wellness and medicine have always been tied to technology, their steady influence on consumer products and portable devices such as phones and wearables is only growing. More and more, consumers are getting access to gear that can handle serious diagnostics of the sort that were previously only available to healthcare professionals.

Compared to last year, there were 25 percent more health-related exhibitors in Las Vegas, and a 15 percent increase in the amount of floorspace dedicated to health tech, according to the Consumer Technology Association, the organization that presents the show.

This shouldn't come as a surprise. There are an estimated 74 million Baby Boomers in the US (people born roughly between the end of World War II and the mid-1960s), and tech companies are eager to help the elderly and those with physical or nonvisible disabilities live independently and comfortably.

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How AI could shape the health tech landscape in 2019

How AI could shape the health tech landscape in 2019 | eHealth mHealth HealthTech innovations - Marketing Santé innovant | Scoop.it

Highlights include technologies seeking to cut costs and promote patient health, especially in imaging, diagnostics, predictive analytics and administration.

The promise of AI in healthcare is finally starting to move beyond speculation.

In recent years companies have been funneling funds into advancements, especially those that cut costs and promote patient health. Spending on healthcare AI technology is expected to surpass $34 billion by 2025, compared to $2.1 billion in 2018, according to market intelligence firm Tractica.

Amazon, Siemens, IBM, Optum and GE Healthcare and health systems Mayo Clinic, Memorial Sloan Kettering and Intermountain are mining patient records for health data to train AI algorithms, allowing the machines to learn by recognizing patterns and make key predictions.

In some cases, such deep learning systems are already outperforming doctors. In others, they're not.

Either way, experts predict that in 2019 AI in healthcare will continue to grow — especially in the areas of imaging, diagnostic, predictive analytics and administration.

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ÉPILEPSIE : L’intelligence artificielle pour la détection précoce chez l’enfant

ÉPILEPSIE : L’intelligence artificielle pour la détection précoce chez l’enfant | eHealth mHealth HealthTech innovations - Marketing Santé innovant | Scoop.it

Cette équipe de l’Université d'État de Géorgie montre qu’il est possible de détecter, de manière très précoce la forme d'épilepsie la plus répandue chez les enfants grâce à une technique « d’apprentissage en profondeur », un outil basé sur l’intelligence artificielle.

L’épilepsie partielle infantile bénigne à pointes centro-temporales (EIBPR) est l'une des formes d’épilepsie les plus fréquentes représentant 15 à 25% des syndromes d'épilepsie pédiatriques. L’EIBPR touche principalement les enfants âgés de 4 à 13 ans. La plupart de ces jeunes patients voient leur épilepsie se « résorber » par elle-même à l’adolescence, cependant, durant l’enfance, la maladie peut entraîner un dysfonctionnement verbal, un déficit de l'attention et une altération du langage. C’est en fait le cas chez 18 à 25% des patients.

De précédentes études ont montré que le traitement médicamenteux pouvait améliorer les compétences linguistiques et normaliser ces pointes centro-temporales aux tests d'électroencéphalographe (EEG). D’autres études ont montré que l’imagerie par résonance magnétique (IRM) et l’imagerie par résonance magnétique fonctionnelle (IRMf) sont prometteuses pour différencier les patients avec EIBPR des patients en bonne santé, mais ces techniques d’imagerie reposent principalement sur les connaissances et les capacités de diagnostic du médecin. De plus leur précision n’est pas satisfaisante. Peu d'études se sont concentrées sur le développement de méthodes d'apprentissage automatique capables de détecter l’EIBPR.

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Why pharma is starting to think more like Amazon

Why pharma is starting to think more like Amazon | eHealth mHealth HealthTech innovations - Marketing Santé innovant | Scoop.it

Pharmaceutical companies are starting to see the retail supply chain as more than just a way to get drugs from point A to point B. It can be an opportunity to ensure better products and services and create a competitive advantage with consumers – but only if data is connected and well managed.

That’s why it wasn’t a surprise to see Walgreens Boots Alliance announce a deal with FedEx in December to make next day drug deliveries. Or Aetna and CVS now in the working phase of their merger. The goal of these and other recent deals is not just to track and trace products around the world, but to look within the supply chain to increase efficiency, cut costs and improve customer satisfaction – to effectively think more like Amazon.

Supply chains are also becoming more personalized and complex, further separating the competition. For instance, Kite Pharma now provides the first CAR-T therapy approved by FDA. They are able to get a sample from a single patient to a lab, then get a personalized product back to that same patient in time for it to be effective. Imagine the importance of integrated, well governed, secure and operational supply chain data as that supply chain scales.

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Top 10 des tendances 2019 du marketing digital santé

Top 10 des tendances 2019 du marketing digital santé | eHealth mHealth HealthTech innovations - Marketing Santé innovant | Scoop.it
En 2018, le marketing digital dans le monde de la santé a vu émerger de nouvelles approches et technologies comme l’intelligence artificielle. Partons à En 2018, le marketing digital dans le monde de la santé a vu émerger de nouvelles approches. Partons à la découverte des grandes tendances 2019.

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