 Your new post is loading...
Your new post is loading...
Le 12 septembre lors de la remise des conclusions du rapport de préfiguration du Health Data Hub, la ministre des solidarités et de la santé, Agnès Buzyn, a confié à Jean-Marc Aubert, directeur de la recherche, des études, de l’évaluation et des statistiques (Drees), le pilotage de ce projet de "laboratoire d'Etat au service des données de santé", dont la première version est attendue pour juin 2019.
Professeur d'informatique médicale, praticien hospitalier au CHU de Rennes, le Dr Marc Cuggia a rappelé les enjeux du big data en santé à l'occasion d'une conférence intitulée "Piloter son territoire par les données de santé", animée par la Fédération hospitalière de France (FHF) à la Paris Healthcare Week, le 30 mai.
L’Union européenne veut faciliter le partage des données de santé
Avec l’arrivée des applications et des objets connectés spécialisés dans le domaine de la santé, le volume des big data santé suit une courbe ascendante. Le secteur devrait connaître un essor exceptionnel d’ici 2025.
Une étude met en lumière le potentiel des données de santé françaises accessibles et la dynamique enclenchée avec la création du Système national des données de santé.
Selon la Haute Autorité de la Santé (HAS), la santé mobile est entrée dans une « période de mutation en passant d’un modèle de logiciel « généraux », qui pouvaient accomplir plusieurs actions, à un modèle « d’Applis » ou d’objets connectés, qui sont des petits programmes répondant à des besoins spécifiques ou à des besoins de niches évolutifs très rapidement ».
Plus de huit Français sur dix se disent prêts à partager leurs données de santé, pour faire avancer la médecine, selon un sondage Odoxa publié ce jeudi. Un feu vert sous conditions toutefois.
Comment la Big Data permet d'innover dans le domaine de la santé ? Découvrez en infographie les usages et le potentiel des données traitées.
Via Bruno Demay
Décisionnel : Des chercheurs de Microsoft ont réalisé une étude sur la mise en place d'un système d'observation passif du comportement de recherche pour détecte
Via Bruno Demay
The face of medical care is rapidly changing thanks to major advancements in the capture, proliferation, and analysis of medical data. Technologies like the electronic health records (EHRs) and personal health records (PHRs) are drastically improving the way data is aggregated and shared.
Now the hope is that big data analytics will help to make sense of seemingly endless streams of medical information.
As many doctors are painfully aware, outcome-oriented care is no longer a buzzword but a reality. The Center for Medicare and Medicaid Services has started to implement a program where payments are based on the ability of providers to meet key National Quality Strategy Domains (e.g. care criteria). Public payers are testing this new methodology, and private payers are expected to soon follow.
These big data analytics applications can also be relevant for the FDA, which may want to see how drugs perform in a non-test environment to ensure the appropriate patient populations are receiving the drug. I also expect pharmaceutical companies to actively scour this data to track drug efficacy post-release or identify markets that could “benefit” from increased penetration.
I am eager to see how the data evolution improves outcomes for doctors and patients.
Via nrip, Richard Platt
It's been tough to identify the problems that only turn up after medicines are on the market. An experimental project is now combing through data to get earlier, more accurate warnings. No one likes it when a new drug in people's medicine cabinets turns out to have problems — just remember the Vioxx debacle a decade ago, when the painkiller was removed from the market over concerns that it increased the risk of heart attack and stroke. To do a better job of spotting unforeseen risks and side effects, the Food and Drug Administration is trying something new — and there's a decent chance that it involves your medical records. It's called Mini-Sentinel, and it's a $116 million government project to actively go out and look for adverse events linked to marketed drugs. This pilot program is able to mine huge databases of medical records for signs that drugs may be linked to problems. The usual system for monitoring the safety of marketed drugs has real shortcomings. It largely relies on voluntary reports from doctors, pharmacists, and just plain folks who took a drug and got a bad outcome. "We get about a million reports a year that way," says Janet Woodcock, the director of the FDA's Center for Drug Evaluation and Research. "But those are random. They are whatever people choose to send us." more at http://www.npr.org/blogs/health/2014/07/21/332290342/big-data-peeps-at-your-medical-records-to-find-drug-problems?sc=tw
Via nrip, Rémy TESTON
It's been tough to identify the problems that only turn up after medicines are on the market. An experimental project is now combing through data to get earlier, more accurate warnings.
No one likes it when a new drug in people's medicine cabinets turns out to have problems — just remember the Vioxx debacle a decade ago, when the painkiller was removed from the market over concerns that it increased the risk of heart attack and stroke.
To do a better job of spotting unforeseen risks and side effects, the Food and Drug Administration is trying something new — and there's a decent chance that it involves your medical records.
It's called Mini-Sentinel, and it's a $116 million government project to actively go out and look for adverse events linked to marketed drugs. This pilot program is able to mine huge databases of medical records for signs that drugs may be linked to problems.
The usual system for monitoring the safety of marketed drugs has real shortcomings. It largely relies on voluntary reports from doctors, pharmacists, and just plain folks who took a drug and got a bad outcome.
"We get about a million reports a year that way," says Janet Woodcock, the director of the FDA's Center for Drug Evaluation and Research. "But those are random. They are whatever people choose to send us."
Via nrip
|
Le Journal officiel du 11 octobre a publié deux nouveaux référentiels de la Commission nationale de l'informatique et des libertés (Cnil) précisant les compétences du délégué à la protection des données (DPO).
Les députés ont définitivement adopté le 14 mai à main levée le projet de loi relatif à la protection des données personnelles qui permet notamment la transposition du règlement européen sur la protection des données personnelles (RGPD).
Les antibiotiques ne sont pas automatiques, et pourraient bientôt devenir inutiles. Afin de lutter contre la résistance antimicrobienne, la communauté scientifique cherche à collecter davantage de données à ce sujet pour convaincre les gouvernements et législateurs de prendre des mesures.
Dans le cadre des Etats généraux, le personnel médical de l’établissement de la Somme discutait de la possibilité de faire rentrer un algorithme dans la prise en charge aux urgences.
Quand un patient franchit la porte d’un hôpital, il y abandonne des données personnelles de santé. Les établissements français prennent conscience de la richesse de ces big data. Des pionniers commencent à les exploiter pour faire avancer la recherche.
Via Rémy TESTON
LE BIG DATA EN SANTÉ: ... C’EST QUOI, AU FAIT ?
Le recueil des données - le BIG DATA - se généralise à travers la planète, souvent à notre insu pour ce qui est de nos données personnelles de santé. En 2018, 7 millions de Français ont utilisé internet pour des préoccupations de santé ; et nous étions déjà 20 millions d’individus à être suivis par des capteurs physiologiques (nombres de pas, battements cardiaques, dépenses caloriques, etc…) en 2014 ! Et en ce qui concerne les malades, 5 millions de patients dans le monde sont déjà équipés de dispositifs connectés de suivis médicaux.
La quasi-totalité des data center, les bibliothèques numériques du XXIe, sont sous contrôl
Via Bruno Demay
D'ores et déjà utiles dans différents domaines de la médecine, les Big data pourraient bientôt nous permettre de lutter contre le cancer
Via Bruno Demay
IBM Watson Health is teaming with the American Diabetes Association to apply cognitive computing to the ADA's 66 years worth of research and data. The results will be used to help entrepreneurs, developers, healthcare providers, and patients learn more about diabetes, prevention, complications, and care In 2012, according to the ADA, 29 million people were living with the disease, and another 86 million were diagnosed with a condition known as prediabetes. To address the challenge, IBM Watson Health and the ADA are collaborating to apply Watson cognitive computing to the organization's massive library of information and data. Through this effort, IBM and ADA hope to empower entrepreneurs, developers, healthcare providers, and patients to gain knowledge that can improve outcomes and even prevent the condition's onset. First, IBM's AI platform will ingest all the medical journals, medical text books, Pub Med, and other diabetes literature and resources available, including all the content from the ADA's Diabetes Information Center. Second, Watson will ingest the ADA's diabetes data sets. Watson will be trained to understand the diabetes data to identify potential risk factors and create evidence-based insights that can be applied to health decisions. IBM also is collaborating with the Health Maintenance Organization Maccabi Healthcare services to build a predictive machine learning model to help identify early risks for diabetic retinopathy, the top cause of blindness for those with diabetes.
Via nrip
The face of medical care is rapidly changing thanks to major advancements in the capture, proliferation, and analysis of medical data. Technologies like the electronic health records (EHRs) and personal health records (PHRs) are drastically improving the way data is aggregated and shared. Now the hope is that big data analytics will help to make sense of seemingly endless streams of medical information.
As many doctors are painfully aware, outcome-oriented care is no longer a buzzword but a reality. The Center for Medicare and Medicaid Services has started to implement a program where payments are based on the ability of providers to meet key National Quality Strategy Domains (e.g. care criteria). Public payers are testing this new methodology, and private payers are expected to soon follow.
These big data analytics applications can also be relevant for the FDA, which may want to see how drugs perform in a non-test environment to ensure the appropriate patient populations are receiving the drug. I also expect pharmaceutical companies to actively scour this data to track drug efficacy post-release or identify markets that could “benefit” from increased penetration. I am eager to see how the data evolution improves outcomes for doctors and patients. more at http://venturebeat.com/2014/10/16/how-big-data-is-beginning-to-change-how-medicine-works/ ;
Via nrip, Coralie Bouillot
After decades as a technological laggard, medicine has entered its data age. Mobile technologies, sensors, genome sequencing, and advances in analytic software now make it possible to capture vast amounts of information about our individual makeup and the environment around us. The sum of this information could transform medicine, turning a field aimed at treating the average patient into one that’s customized to each person while shifting more control and responsibility from doctors to patients. The question is: can big data make health care better? “There is a lot of data being gathered. That’s not enough,” says Ed Martin, interim director of the Information Services Unit at the University of California San Francisco School of Medicine. “It’s really about coming up with applications that make data actionable.” The business opportunity in making sense of that data—potentially $300 billion to $450 billion a year, according to consultants McKinsey & Company—is driving well-established companies like Apple, Qualcomm, and IBM to invest in technologies from data-capturing smartphone apps to billion-dollar analytical systems. It’s feeding the rising enthusiasm for startups as well. Venture capital firms like Greylock Partners and Kleiner Perkins Caufield & Byers, as well as the corporate venture funds of Google, Samsung, Merck, and others, have invested more than $3 billion in health-care information technology since the beginning of 2013—a rapid acceleration from previous years, according to data from Mercom Capital Group. more at http://www.technologyreview.com/news/529011/can-technology-fix-medicine/ ;
Via nrip, Paris Healthcare Week
|
