Big Data Can Bring Patients to Water But It Can’t Make Them Think; Aetna can tell its members if they’re likely to develop cardiovascular disease. It does this by tracking data from lab results, pharmacy data and claims data of its 18 million members
March 21, 2013 Leave a comment
March 20, 2013, 7:30 PM ET
Big Data Can Bring Patients to Water But It Can’t Make Them Think
Michael Hickins
As it prepares to vie for new business from some of the 30 million additional people entering health exchanges through the Affordable Care Act next year Aetna Inc. is looking to analytics as a means of lowering the cost of some coverage. According to Michael Palmer, head of innovation for the Hartford, Conn.-based insurance company, Aetna is using a new analytic platform to predict which ailments its members are likely to contract over the coming year in order to lower the odds that they will develop cardiovascular disease, one of the more expensive and endemic diseases it has to cover.
This information could help improve health outcomes for patients, dramatically lowering health care costs for themselves, their employers and Aetna itself, says Mr. Palmer. “Better outcomes also lead to better costs. It’s a virtuous cycle,” he told CIO Journal Wednesday after a presentation at the Structure: Data conference in New York. But Mr. Palmer also noted that it’s difficult to get people to act on the information they’re given, even if it’s for their own good.
For example, Aetna can tell its members if they’re likely to develop cardiovascular disease. It does this by tracking data from lab results, pharmacy data and claims data of its 18 million members, looking for data showing that a given individual suffers from three of any of five factors – high cholesterol, high blood pressure, low HDL (so-called good cholesterol), high triglyceride levels, and abdominal girth – all of which are indicative of metabolic syndrome. “We found we can predict at the individual level the probability of their getting metabolic syndrome in the coming year,” Mr. Palmer said. Read more of this post


