Population Health Management (PHM)

Population Health Management (PHM) is a proactive approach to healthcare that focuses on improving the health outcomes and wellbeing of entire patient populations. PHM strategies use data analytics to find people who are at high risk and address social determinants of health to reduce health disparities and improve wellness as a whole.

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"Effectiveness of motor control exercise, aerobic walking, and muscle strengthening programs in improving outcomes in a subgroup of population with chronic low back pain positive for central sensitization: a study protocol for a randomized controlled trial"

This research was conducted by a team of researchers and was published in the journal Trials. The paper discusses the effectiveness of different exercise interventions on chronic low back pain and central sensitization, which are common issues in population health management. The study aims to improve outcomes in a subgroup of the population with these conditions.

Leveraging big data in population health management

This research was conducted by Timothy S. Wells, Ronald J. Ozminkowski, Kevin Hawkins, Gandhi R. Bhattarai, and Douglas G. Armstrong. It was published in the journal Population Health Management. The paper discusses how big data analytics can be used to support a population health program for individuals who purchased an AARP Medigap plan, supplementing their fee-for-service Medicare coverage. The study highlights the use of various types of data, including health risk appraisal surveys, telephone-based assistance services, and Medicare claims data, to manage these programs.

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