BIG DATA & HEALTHCARE ANALYTICS: A HIMSS EVENT

Turning Data into Action to Improve Population Health

Population health management can mean many different things for many different types of organizations. For instance, let’s say you’re a population health program manager looking to address care coordination and your physician and clinician engagement strategies. Maybe you’re participating in a commercial accountable care organization with two-sided risk, as well as in a patient-centered medical home program. You may be wondering what capabilities you need to develop to meet those programs’ requirements to obtain both reimbursement and outcome improvement. To help you make smart planning decisions and determinations about where to focus resources, you also need to first identify which are the core functions required for your program, and which are ‘nice to haves’ that can be developed later pending additional resources or imperatives.

While data and analytics are critical to population health management, there’s a whole foundation beneath which to consider while designing your population health strategy. Shelley Price, director, payer and life sciences, HIMSS, aims to bring more clarity to the topic of population health. “What we were hearing from members and HIMSS conferences and events attendees was that ‘population health’ as a term has become almost ubiquitous, but yet means different things to different people.”

With this in mind, Price worked with the Population Health Task Force of the HIMSS Clinical & Business Intelligence (C&BI) committee to create tools and resources that would help organizations understand and develop their data and analytics’ capabilities, including a population health management and capability model.

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