Data Warehousing
If there's one thing everyone in healthcare can probably agree on right now, it's that there is an awful lot of data being generated each and every day. What to do with that data, however, is another question.
Offering previously unimagined horsepower and speed, quantum computers could soon be making big waves in healthcare -- with "tremendous potential" to unlock advances in DNA sequencing, personalized medicine, machine learning, artificial intelligence and beyond.
Deloitte and Intermountain Healthcare are teaming up to launch a new data analytics tool for researchers and healthcare companies that extracts electronic health record data to better determine clinical treatment options for patients.
Atul Gawande, MD, professor of surgery at Harvard Medical School and staff writer at The New Yorker, offered a reflective presentation earlier this month at Health Datapalooza IV, taking the audience back through what the healthcare system used to look like, and showing and how data innovations have helped set the stage for big transformations.
The Fourth Annual Health Datapalooza stayed true to its name. It was, indeed, all about data -- how to liberate data, the need to liberate data, structuring data, promising new data apps, and how data scientists just might have the sexiest career of the 21st century.
UPMC announced May 12 that it is the first health system in Pennsylvania to commit to the purchase of wind power energy credits equal to its data facilities' annual energy usage.
The Department of Health and Human Services and Centers for Medicare & Medicaid Services have formed what they call a first-of-its-kind partnership with San Francisco-based healthcare modeling and analytics company Archimedes to provide free and easy access to CMS synthetic claims data for any software developer.
"Big data" must be near the top of its hype cycle by now. As with other technologies, it may eventually deliver on a great deal of this hype, but the outcomes will probably come later than the current frenzy would suggest.
Oregon Health & Science University and Intel Corp. are teaming up to develop next-generation computing technologies that advance the field of personalized medicine by dramatically increasing the speed, precision and cost-effectiveness of analyzing a patient's individual genetic profile.
The deployment of clinical and business intelligence tools is evolving, according to researchers at HIMSS Analytics, who increasingly see organizations "doing their data analytics are seeing their practice patterns," seeing what works and what doesn't, and then delivering that information to the bedside.