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Leveraging AI-enabled learning health systems to advance value-based health care: A conceptual framework

Dong‐Gil Ko et al.

Health Care Management Review2026https://doi.org/10.1097/hmr.0000000000000472article
AJG 2ABDC A
Weight
0.50

Abstract

To implement an AI-LHS, organizations should (1) assess readiness and align on value-based goals; (2) invest in data infrastructure and interoperability; (3) cultivate a learning culture by engaging clinicians and staff; (4) embed AI into continuous improvement cycles with interdisciplinary governance; (5) adopt a sociotechnical approach integrating people, processes, and technology; and (6) ensure safeguards for equity, privacy, and security. These steps allow systems to reduce lag between insight and impact, accelerating value-based care transformation.

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https://doi.org/https://doi.org/10.1097/hmr.0000000000000472

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@article{dong‐gil2026,
  title        = {{Leveraging AI-enabled learning health systems to advance value-based health care: A conceptual framework}},
  author       = {Dong‐Gil Ko et al.},
  journal      = {Health Care Management Review},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1097/hmr.0000000000000472},
}

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Leveraging AI-enabled learning health systems to advance value-based health care: A conceptual framework

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

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