This week, participants analyze the ethical, regulatory, and privacy challenges of AI in healthcare, focusing on fairness, equitable access to AI-driven solutions, and robust patient data protection. They examine how to export Electronic Health Records (EHRs) and apply best practices for data cleaning, management, and integrating AI models into existing EHR systems. The week also covers accountability in multi-agent workflows, including how agents operate across EHR, payer, and clinical systems, the audit trails these systems require, and the safeguards needed to protect PHI. Participants consider why agentic AI regulation is still forming and why it remains hard to solve. A case study on governing multi-agent AI across healthcare systems applies these principles to a real-world scenario.