AI Governance Starts in the Boardroom: A Practical Framework for Health Care Leaders
The Massachusetts Health and Hospital Association and Manatt Health are hosting a live on Wednesday, June 24, from 12 – 1 p.m. ET on how hospital system boards and executives can prepare for AI governance. Click to register.
Artificial intelligence (AI) is already reshaping care delivery, operations and the workforce—often outpacing existing governance structures. Many hospital and health system boards are now confronting a central question: how to effectively oversee AI risks and opportunities.
Boards, CEOs and executive teams need to define a clear, actionable approach to AI governance—one that strengthens oversight while preserving appropriate roles and accountability. These goals can be achieved when boards:
- Exercise effective oversight across quality and patient safety, workforce and human dignity, data governance, and enterprise risk
- Clarify the board-management relationship—ensuring alignment on risk, accountability, and escalation without micromanagement
- Integrate AI oversight into existing governance structures, including quality, compliance, and enterprise risk frameworks
- Support proactive, strategic decision-making by shifting from reactive oversight through an AI framework
For organizations navigating the rapid adoption of AI, establishing the right governance model is quickly becoming a strategic imperative—not only to mitigate risk, but to enable innovation responsibly.
Join our upcoming with The Massachusetts Health and Hospital Association, as we outline a practical, board-ready framework for AI governance, grounded in real-world health system experience.
For additional questions on board governance for health systems, please contact or . To learn more about our work on AI, please visit our page.
