ICMCC

the international council on medical & care compunetics

news page

13
February, 2012
Monday

Machine Learning and Clinical Outcomes in Health Information Technology

“The Disease Management Care Blog is guilty of not paying that much attention to the flow of news about information internet techie killer ap stuff. It’s hard to keep it all straight, much of it seems either impermanent or futuristic, plus the 2.0 jargon is opaque. But when the New York Times Business Section and the Wall Street Journal Health Blog both mention a new healthcare computer thingy, the DMCB perks up.
Welcome to Keas (pronounced KEE’_ahs). As the DMCB understands it, this is a web site (or to the cognoscenti, an ‘application’) in which you can record your medical and family history and input other medical information, including labs from Quest. The site’s ‘machine learning’ (MLing) can apparently fashion a health profile, interpret (‘red,’ ‘yellow,’ or ‘green’) lab test results, generate a personalized care plan (based on input from Healthwise or anyone of a number of high powered academics), issue prompts or offer specific suggestions (and even quizzes) that help the user-patient improve their health or manage conditions such as diabetes, high blood cholesterol or being overweight.”

Article
Jaan Sidorov, Disease Management Care Blog, 8 October 2009
Abstract (Grant 2009)
Abstract (van der Meer 2009)

8 October 2009 | Categories: News | Country: United States | Tag(s): Family, Health 2.0, Health Information Technology, Medical History, Medical Information, Self Management, Web
You can leave a response, or trackback from your own site.
If you appreciate our news pages, don't forget to subscribe or try the NEW ICMCC toolbar!

Leave a Reply

Back to News Page

subscribe

ICMCC is member of

IFMBE

WABT

© ICMCC 2004-2011

Log in