The push towards value-based delivery models has resulted in an increasing interest in population health management. The proliferation of digitized data resulting from the adoption of electronic systems represents a potential gold mine of information needed to achieve IHI’s triple aim of improved patient care, improved population health, and lower per capita costs. Unfortunately, the volume and disparate nature of this data makes it difficult for organizations to glean meaningful insights about their populations from it, resulting in critical care gaps and the unnecessary utilization of resources.

To successfully compete in a shifting market landscape, healthcare organizations are considering:

Population Health Management

Identifies and risk-stratifies patient populations based on actionable care gaps to design effective programs. This greatly improves patient health while reducing avoidable expenses. Some important components of population health management are:

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On-demand Webinar

Value by Design: A Population Health Primer for Provider Groups

Held on: Wed, Aug 24, 2016

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How behavioral analytics can fine-tune patient engagement - by David Hom

How behavioral analytics can fine-tune patient engagement

Key Industry Challenges Addressed

  • Clinical data is fragmented and there is no transparency between healthcare organizations
  • Pressure to shift to value-based reimbursement models with risk scores and quality scores put in place by CMS
  • Providers don’t fully understand the populations they serve or the care gaps that exist
  • Utilization of unnecessary resources by providers that lack tools for member engagement and medication adherence among patients with chronic conditions

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