Population health management is a fairly vague term for many healthcare systems to wrap their collective heads around. Usually, it starts with a few quality measures to track, and then IT support that spans everything from making health data interoperable across disparate EHR systems, data governance, workflow changes, employee training and, of course, the inevitable tracking of data with an analytics layer as the cherry on top.
Ultimately, in the coming years, many federal and commercial insurers will likely base reimbursements, at least in part, on a provider's population health management statistics.
In this podcast, Tom Pacek, vice president and chief information officer at Inspira Health Network, shares the whys and wherefores behind his three-hospital system in New Jersey launching a population health management technology initiative. The idea behind it is to support a patient-centered medical home pilot project that will eventually be expanded en route to participation in accountable care programs. He tells the story of signing up as a beta customer for a new Siemens system unveiled at HIMSS 2014 and also offers vendor-neutral advice for his health IT peers, many of whom are planning similar deployments.
More on population health management:
- There are few providers making use of big data to improve care, though the future is bright for big data to have an effect on population health management.
- IBM and four hospitals join to form the Data Alliance Collaborative. This group promises to improve population health and focus on reducing hospital readmission rates.
- The move toward pay-for-performance reimbursement models has providers and insurance companies honing in on preventive care in hopes that it leads to better population health management.
- Rather than simply updating their problem lists to keep up with meaningful use requirements, some providers are staying ahead of the game and using their lists to benefit population health management in the present.