AI Governance for Community Health Centers

AI tools are moving faster than most clinic policies. This session gives community clinic leaders, administrators, and clinical staff a practical grounding in AI governance: what to watch for when adopting AI tools, what California law requires around patient consent and disclosure, and how to build internal structures to stay ahead of risk. The goal is not to make everyone a compliance expert, but to equip members with a shared framework for asking the right questions before signing a contract, deploying a tool, or fielding a patient complaint. 

By participating in this session, attendees will be able to: 

• Identify key data security and consent risks associated with AI tool adoption in clinical and administrative workflows, including data sharing arrangements, permissible use limitations, and California-specific patient consent and disclosure requirements. 
• Evaluate an AI vendor relationship or tool deployment against a basic governance checklist, recognizing red flags in contracts, data use agreements, and product configurations that may expose the organization to legal, reputational, or clinical harm. 
• Describe the components of an ongoing AI governance structure appropriate for a community clinic setting, including policy maintenance, defined leadership and board oversight roles, and a process for revising policies as tools and regulations evolve. 

Presented by Jordan Wiseman, Consultant, CGI Partner.