This whitepaper provides five best practices for implementing population health management using data.  Healthcare reform is fueling the shift away from fee-for-service models toward pay-for-performance, value-based care paradigms. In order for healthcare organizations to successfully transition, there is an acute need for actionable analysis of data derived from individual patients and populations.  Physicians, providers and payers all need access to better data insights to improve clinical, financial, and operational outcomes beyond incremental change.  If your health center is looking to embrace the new value-based care model and integrate population health management into process, work culture and technology systems, you must start with data.

Raw data is available from many sources including health center EHRs, financial files, hospital and other providers’ information systems, public health and human services providers, health information exchange, payor claims and other sources.  In this whitepaper, you’ll learn how to: (1) Enable healthcare workers to ask and answer their own questions with data; (2) Measure population health with segmented data; (3) Use data visualizations to coordinate care across the continuum; (4) Track and understand population and individual risk; and (5) Proactively manage patient relationships.