8 Steps To AI Governance

Healthcare organizations implementing artificial intelligence face complex governance challenges that extend far beyond technology deployment to encompass clinical safety, regulatory compliance, ethical considerations, and operational oversight. The American Medical Association has developed a comprehensive 8-step framework to help healthcare leaders establish robust AI governance structures that can guide responsible AI adoption while maintaining patient safety and clinical quality standards.

This structured approach addresses the critical governance gaps that many healthcare organizations encounter when scaling AI initiatives, from initial pilot programs to enterprise-wide deployment. The AMA's toolkit provides practical guidance for establishing oversight committees, defining approval processes, ensuring algorithmic transparency, and creating accountability mechanisms that align with both regulatory requirements and clinical best practices.

Join us to discuss:

• How can healthcare organizations implement the AMA's 8-step AI governance framework to create sustainable oversight structures that balance innovation with patient safety and regulatory compliance?
• What governance challenges are healthcare leaders encountering when scaling AI initiatives, and how does structured governance framework address common implementation pitfalls?
• How can AI governance processes be designed to enable rather than inhibit innovation while ensuring appropriate clinical oversight, bias mitigation, and continuous monitoring of AI system performance?