Population health strategies benefit from advanced analytics

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Healthcare has benefited immensely from technology over the years, most recently from advanced analytics that derive relevant insights from large amounts of patient data. This technology alone is a godsend for busy healthcare providers who are short on time. When applied to population health strategies and the need to reduce costs for patients and hospitals, analytics have the potential to improve the delivery and quality of care.

As the industry moves away from a fee-for-service model that prioritizes profits over patients, one-size-fits-all is no longer the order of the day. Treating patients as if they were cookie-cutter ignores their unique risk factors, leaving the door open to gaps in care that can have deleterious effects.

Population health strategies draw on clinical data to identify not only these gaps, but also opportunities to improve patient health – also a major goal of value-based healthcare. The two models intersect as providers and regulators focus on effectively treating groups of patients while measuring the extent to which these efforts have improved their health. In this handbook, learn how technology, especially analytics, is contributing to the growing boom in population health. Also included are case studies of how health care organizations are addressing the intersection of population health and values-based care.

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