Advancing healthcare AI governance through a comprehensive maturity model based on systematic review
University of Chicago · Artificial Intelligence in Medicine (Canada) · +1 more institution
Abstract
Artificial Intelligence (AI) deployment in healthcare is accelerating, yet governance frameworks remain fragmented and often assume extensive resources. Through a systematic review of 35 frameworks for AI implementation in healthcare (published 2019-2024), we identified seven critical domains of healthcare AI governance. While existing frameworks provide valuable guidance, the resource requirements create barriers for smaller healthcare organizations. To address this gap, we organized key findings from the review to create the Healthcare AI Governance Readiness Assessment (HAIRA), a five-level maturity model that provides actionable governance pathways based on organizational resources. HAIRA spans from Level…
Citation impact
- FWCI
- 69.77
- Percentile
- 100%
- References
- 41
Authors
7- RHRowan HusseinCorresponding
University of Chicago
- AZAnna Zink
University of Chicago, Artificial Intelligence in Medicine (Canada)
- BRBashar Ramadan
University of Chicago, Artificial Intelligence in Medicine (Canada)
- FMFrederick M. Howard
University of Chicago, Artificial Intelligence in Medicine (Canada)
- MHMaia Hightower
Equality Now
Topics & keywords
- Corporate governance
- Health care
- Software deployment
- Maturity (psychological)
- Resource (disambiguation)
- Healthcare system
- Data governance