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Advancing the learning health system by incorporating social determinants
Deepak Palakshappa1, David P Miller, Gary E Rosenthal
1Wake Forest School of Medicine, Medical Center Blvd, Winston-Salem, NC 27157.
The American Journal of Managed Care
|January 18, 2020
Summary
Learning health systems (LHS) can improve healthcare quality and efficiency. Integrating social determinants of health data is crucial for LHS to fully address patient needs and enhance overall health outcomes.
Area of Science:
- Healthcare systems research
- Public health
- Health services research
Background:
- The learning health system (LHS) framework aims to improve healthcare quality, safety, and efficiency by integrating data and evidence.
- Social determinants of health (SDOH) significantly impact health outcomes but are often not fully addressed within traditional healthcare models.
Purpose of the Study:
- To discuss the essential role of LHS in addressing patients' social risk factors.
- To explore how integrating SDOH data can advance LHS goals, including patient engagement and personalized care.
Main Methods:
- Literature review and conceptual analysis of LHS principles and SDOH.
- Discussion of potential data integration strategies for SDOH within LHS.
Main Results:
- LHS can be a powerful framework for mitigating the negative impact of social and economic factors on health.
- Integrating SDOH data can enhance patient engagement, personalize care delivery, and improve effectiveness evaluation within LHS.
Conclusions:
- The successful implementation of LHS requires the systematic inclusion of social determinants of health.
- Failure to collect and integrate SDOH data may limit the potential of LHS to improve both health and healthcare delivery.
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