11 juillet

In 2012, Stein co-founded an Israel-based company called MedAware. The firm offers a big-data software platform that integrates with a hospital's electronic health-record system to detect prescription errors before they happen. It draws from patterns in...

10 juillet

Les données issues du big data (posts sur les réseaux sociaux, tweets, historiques d'achat...) ne cessent de croître et devraient doubler d'ici à 2018. Une aubaine pour les entreprises, qui peuvent ainsi proposer des offres personnalisées à leurs...

09 juillet

Voilà des mois que le Big Data est au centre de toutes les discussions comme des stratégies des grands noms de l’IT. La majorité des entreprises ont en effet de grands volumes de données inexploitées, mais il reste à savoir comment les utiliser et surtout quels bénéfices en tirer.

08 juillet

I’ll be the first to admit it: If you’re looking for a perfect answer to the big data ethics dilemma, you’re not going to find it in this article — or any other article, for that matter. That’s because there is no perfect answer. Continue reading... Follow us on Twitter Join free newsletter View upcoming events Find a new job

08 juillet

La Drees a publié un dossier synthétisant tout le travail préparatoire réalisé en vue de rédiger l'article 47 portant sur l'ouverture des données de santé au public, qui fait partie du projet de loi Touraine, du nom du ministre de la Santé, Marisol Touraine. (crédit : D.R.) Alors que le projet de loi Touraine arrive ce mercredi après-midi devant la commission des Affaires sociales du Sénat, la Direction de la...

Short Headline:  Big data analytics for value-based care Jeff Fuller, Director of Analytics at Carolinas Healthcare System, describes how his organization's approach to analytics started with a research focus on predictive analytics and innovations and has shifted to operational cost control and quality.  

What can big data tell us about the predictability of medical conditions? A new study by MIT researchers published in the journal Scientific Reports digs into this question by looking at anonymous data from over 500,000 patients. Among the findings is that for 43 percent of the patients, the data can help predict which of 1,719 subcategories of diseases are most likely to occur next. The co-authors of the paper are Carlo Ratti, director of MIT's Senseable City Laboratory, and two former...

Who's about to become the biggest beast in the big data forest? A group of computing experts have arrived at an answer. It's not You Tube or Twitter, social media sites that gobble up awesome quantities of bandwidth, and it's not astronomy or particle physics. No, the alpha beast in the big data forest is genomics -- a science that didn't exist 15 years ago and just beginning to break out from the field.

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