22 février

Wayne Gretzky may be an unlikely inspiration for an infectious disease researcher. Yet here Dr. Kamran Khan is, on a demonically busy Monday evening, referencing the Great One. “Skating to where the puck is going, not where it’s been” — this is Khan’s goal for himself and his colleagues at BlueDot, the company he launched to help decision-makers prepare for and respond to infectious disease outbreaks. Since January, when the Zika virus sent public health officials...

19 février

Big data is a popular buzzword in classrooms and boardrooms alike these days, and it’s fair to say that data has become the driving force behind nearly every major policy decision that enterprises make. It’s also no surprise that the big data and analytics market is expected to reach $125 billion worldwide this year, and that 100 percent of large organizations will purchase external data by 2019. But, big data is having a profound impact on the way that healthcare operators work....

Identifier les signaux alarmants en ligne Depuis maintenant 3 ans, la jeune femme se passionne pour la collecte de données de santé dans le monde entier. « Nous disposons de plusieurs algorithmes qui scrutent le web afin d’identifier des informations pertinentes , explique la jeune femme. Les articles référencés par les moteurs de recherche, les tweets, les publications Facebook, les rapports issus des ministères et même...

Dr Elizabeth Ford, BSMS Information provided in free-text sections of electronic patient records can help researchers to detect cases of a particular condition, according to a new study by Brighton and Sussex Medical School (BSMS) and the University of Sussex. Results could lead to a major improvement in case detection rates, improving research and potentially saving lives. Research using health ‘big data’ relies on good methods of data extraction so that researchers find the right...

18 février

Think you’ve got a handle on the Internet of Things? Feeling positive about population health management? Got big data in the bag? Good! The healthcare industry is constantly changing, and new technologies, tools, strategies, and initiatives are popping up at a breakneck pace.  You’ve read through our first primer on the most common terms and phrases you’re likely to hear if you spend any time in the big data analytics universe.  Now it’s time to tackle a few...

Big data is in the ascendant in medicine. On this point, there is agreement among industry players and observers. We have increasingly powerful hardware and software, which make it possible to analyse the increasing amounts of data we are getting from billing and treatment records, test results, and most recently, from fitness trackers. For the most part, this data is already in digital form. However, the challenge is not merely to describe this state of affairs; it is to answer the question...

Rachel Emma Silverman reports in The Wall Street Journal, “Employee wellness firms and insurers are working with companies to mine data about the prescription drugs workers use, how they shop and even whether they vote, to predict their individual health needs and recommend treatments.

La nouvelle fait le tour de la presse spécialisée autant que des grands quotidiens, un hôpital de Los Angeles vient de subir une attaque de la part de hackers, qui réclamaient plus de 3M de dollars pour débloquer le SI. Au final, l'établissement affirme avoir déboursé 17 000 dollars pour remettre le SI en services.

More than half of hospital deaths in the United States are related to severe infections, or sepsis. Yale researchers developed a prediction model, drawing on "big data" about local patients and using machine-learning methods, that proved better at identifying at-risk patients than existing clinical practices.

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