How to Design Governance Models for Clinical and Operational AI

AI risk spans clinical leadership, information technology, privacy, legal, compliance, operations, and executive management. As AI becomes embedded within your healthcare decision-making, organizations must clearly define accountability and establish governance structures capable of managing risk at scale. Source practical tips to:

• Amplify ownership and accountability for AI outcomes.
• Strengthen governance across clinical and operational AI programs.
• Master how you manage emerging risks associated with generative AI technologies.
• Improve organizational readiness for responsible AI adoption.

Create governance structures that enable innovation while protecting your patients and organizations.