EXCERPT

Both health care providers and patients can contribute via smartphone data that is immediately rendered anonymous. Powerful analytics then sift through that data, along with information from other sources, like physicians' notes, clinical guidelines and journal articles, to provide treatment recommendations. "As more data are added, patterns emerge that you could not have seen in just one patient or even in bigger clinical trials where positive responses from one or two patients get lost in the rest of the data," [Marty] Tenenbaum explains.

In theory, doctors would tap the database for insights into how to treat a patient based on the experiences of super responders and other patients who share the same genetic mutations and other genomic characteristics. Patients can also query the database. Together, doctors and patients will form a knowledge network around certain genetic mutations that Tenenbaum envisions as "similar to LinkedIn."

SOURCE

http://www.newsweek.com/linkedin-cancer-354877