Healthcare Intelligence Network - What Data Sources Are Used To Stratify for Population Health Management Intervention Levels?
Source: 2018 Healthcare Benchmarks: Population Health Management, September 2018.

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2018 Healthcare Benchmarks: Population Health Management

As the healthcare industry’s pace from volume-based to value-based healthcare payment models accelerates so does the demand for more effective management of population health. With the growth of these payment models, healthcare organizations are taking on more risk in terms of shared savings and shared risk arrangements and are investing heavily in programs to support population health. These programs are expanding in both scope of services and health conditions and disease states managed. With the help of advanced technologies in healthcare, this growth will only continue.

This report is the fourth comprehensive analysis of population health management by the Healthcare Intelligence Network, capturing key metrics such as populations, health conditions and health risk levels targeted by population health management programs; risk stratification criteria; prevalence of value-based payment models supporting population health management programs; population health management processes, tools, workflows and forms; and program outcomes and ROI from responding healthcare organizations.

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2018 Healthcare Benchmarks: Population Health Management

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Dr. Adrian Zai

By focusing chiefly on moving high-risk patients down to the low-risk band, population health management programs are in danger of missing the "natural inertia" driving low-risk patients right back into that high-risk stratum, cautions Dr. Adrian Zai, clinical director of population informatics at Massachusetts General Hospital (MGH). Dr. Zai describes why MGH advocates a multi-pronged approach addressing both low-risk and rising risk patients—a strategy that has improved MGH care quality and provider performance while reducing high-cost healthcare utilization.

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