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Artificial Intelligence Governance in Health Systems: Systematic Review of Frameworks and Integrative Model Proposal
Hassane Alami1,2, Renata Pozelli Sabio1, Elsury Johanna Pérez1
1Department of Health Management, Evaluation and Policy, School of Public Health & Center for Public Health Research of the University of Montreal, P.O. Box 6128, Branch Centre-Ville, Montreal, QC, H3C 3J7, Canada, 1 (514) 343-7978.
Journal of Medical Internet Research
|June 8, 2026
Summary
This review synthesizes 19 artificial intelligence (AI) governance frameworks for health systems (HS), proposing an integrative model. The model identifies key components for AI policy, practice, and research to ensure responsible AI integration.
Area of Science:
- Health Systems Research
- Artificial Intelligence Governance
- Policy Development
Background:
- Existing artificial intelligence (AI) governance frameworks for health systems (HS) often fail to address the complex, evolving nature of real-world governance.
- There is a need for comprehensive frameworks that capture the multidimensional aspects of AI governance in healthcare.
Conclusions:
- An integrative AI governance model for HS was proposed, encompassing 2 dimensions and 4 relational mechanisms across 4 governance levels.
- The model aims to enhance the practical applicability of AI governance in HS.
- Further research is needed to test and operationalize the model, particularly in diverse global contexts.
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