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Modeling impactability with predictive analytics can drive better outcomes in whole-person care

Michele Kratz, Vice President of Operations at HGS AxisPoint Health was featured in Healthcare IT Today to discuss how modeling impactability with predictive analytics can drive stronger outcomes in whole-person care.

Article originally published on Healthcare IT Today
Written by Michele Kratz

Humans are complex systems, but we’re no more than the sum of our parts — all of our parts. Our overall health is determined not only by the health of our physical systems, but also by our mental and emotional health, and by a multitude of outside variables that shape our daily lives: the environmental, cultural, and social factors known as social determinants of health (SDoH).

To more effectively address the multifaceted aspects of an individual’s health, as well as their SDoH, payers and providers alike are beginning to embrace the holistic approach of a whole-person care model. Whole-person interventions can improve health outcomes, reduce costs, and increase patient satisfaction by identifying and addressing the root causes of noncompliance and unhealthy behaviors — which often stem from undiagnosed or underdiagnosed behavioral health, or from substance-use issues driven by SDoH.


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