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Inside Health Care #99: Dr. Eric Wei and Dr. Ted Long and the Crisis of Health Worker Burnout

NCQA

Edward Juhn After that, Inland Empire Health Plan Chief Quality Officer Dr. Edward Juhn talks about “algorithmic bias,” a software-based anomaly that may adversely affect population health metrics that drive research on equity. The post Inside Health Care #99: Dr.

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Enhancing Physical Therapy With Artificial Intelligence

HIT Consultant

Population-level data also offers insight into overarching trends in various populations, which can then be used to implement population health strategies or new treatment protocols and monitor intervention efficacy. Patient care is substantially more than algorithms and numerical outcomes.

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Amedisys Finds New Hospice President From Within; Elevance Health Announces Next CFO

Home Health Care

Geoff is a doctor of physical therapy and a certified wound specialist who joined Amedisys 14 years ago as an administrator and rehabilitation specialty director. Before that, he served as national director of population health product and strategy for Maxim, a home health care provider.

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Virtual Health Tech Enables the Continuum of Health from Hospital to Home

Health Populi

In the COVID-19 pandemic, as peoples’ daily lives shifted closer and closer to home, and for some weeks and months home-all-the-time, health care, too, moved beyond brick-and-mortar hospitals and doctors’ offices.

Hospitals 152
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Tufts’ Peter Neumann and cost-effectiveness analysis – Better health through better measurement – Harlow On Healthcare

Health Blawg

criminal enforcement vs. treatment and rehabilitation) we have a natural experiment that can yield data to be looked at in a cost-effectiveness analysis. As Peter observed, it is challenging to include the non-health costs and benefits in the analysis. Given the differences in state-by-state approaches to the opioid epidemic (e.g

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Tufts’ Peter Neumann and cost-effectiveness analysis – Better health through better measurement – Harlow On Healthcare

Health Blawg

criminal enforcement vs. treatment and rehabilitation) we have a natural experiment that can yield data to be looked at in a cost-effectiveness analysis. As Peter observed, it is challenging to include the non-health costs and benefits in the analysis. Given the differences in state-by-state approaches to the opioid epidemic (e.g

article thumbnail

Tufts’ Peter Neumann and cost-effectiveness analysis – Better health through better measurement – Harlow On Healthcare

Health Blawg

criminal enforcement vs. treatment and rehabilitation) we have a natural experiment that can yield data to be looked at in a cost-effectiveness analysis. As Peter observed, it is challenging to include the non-health costs and benefits in the analysis. Given the differences in state-by-state approaches to the opioid epidemic (e.g