Ok, so Population Health Management has been a buzz word for longer than a month but it does seem to have taken on a larger than life quality in the last few weeks. This has been a summer of big news for healthcare. ICD-10 isn’t going to be delayed so October 1st is circled on everyone’s calendar. The DoD just awarded Cerner a 9 BILLION dollar contract. And everyone is screaming about EHR interoperability, or really their lack thereof.

All of these things are swirling around and yet somehow Population Health Management keeps rising to the top. But, there is good reason for it. We are quickly entering alphabet soup territory with the different quality reporting measures physicians and hospitals are trying to report, but what they all really boil down to proving quality outcomes for patients over a long period of time so that we have a healthier population overall.

But how does one go about proving a population is healthier? The answer is more complicated than we can cover but the one part we know for certain (and happen to be experts in) is data. And we aren’t just talking data, we are talking BIG, SMART, DISCRETE data. DISCRETE Data that is so helpful that doctors know which patients haven’t had their colonoscopy and which patients A1C is now in dangerous territory.

But here’s the rub, in a recent article about the American College of Cardiology and their plans for achieving population health management, Gerald Martin M.D. expresses the frustration cardiologists are experiencing because they can’t get their hands on the BIG Data they need to turn it into the SMART data that will actually help them help their patients; and help their health system track quality outcome and become more financially responsible. Here is his quote:

“According to Martin, improved interoperability is needed to facilitate data sharing during population health efforts.

“We know that data registries and health information exchange is critical for understanding this issue, but there are still so many data silos that are preventing meaningful work from getting done,” he says. “The data sits in different buckets … and none of it is tied together.”

Mr. Martin, call us!!!

At MDabstract we take all the paper and data from other systems and abstract it so that physicians and hospitals have SMART data where they need it, when they need it, so a patient can receive the best care possible. We can help you make sure your physicians know when a patient hasn’t had that much needed clinically indicated test. We can help your practice respond to the Medicare Advantage gaps report and prove quality. Interoperability is a big hurdle but don’t let that stop you from getting the data you need to improve each patients’ outcomes so you can begin work on making whole populations healthier.