As AI accelerates across clinical, operational, and administrative workflows, healthcare leaders face a defining challenge: How do we harness AI-driven innovation while safeguarding ethics, equity, regulatory integrity, and patient trust? Join us for an exclusive, executive‑level discussion with leading voices in Healthcare AI Governance as we examine the best practices and common governance pitfalls that shape responsible clinical AI adoption.
This strategic discussion will explore emerging governance frameworks, evolving CMS and regulatory expectations, and the growing importance of transparent, bias-aware, explainable, and continuously validated AI systems. Attendees will gain insights into how governance decisions made today will directly impact clinical outcomes, workforce confidence, enterprise risk, and long‑term organizational resilience.
Drawing from real‑world experiences shared by healthcare CXOs, investors, and clinical leaders, this session will highlight governance gaps surfaced by early AI adopters and outline a stewardship‑driven roadmap for building accountable, trustworthy AI programs across healthcare enterprises.
Join us for “Healthcare AI Governance: Best Practices and Pitfalls from Strategy to Adoption.” This executive‑level session brings together healthcare leaders for a strategic discussion on the essential role of disciplined governance, ethical stewardship, and regulatory alignment in responsible AI adoption across clinical and operational workflows. Participants will gain practical insight into navigating governance challenges while enabling innovation at scale. Attendees will leave with two executive frameworks: a healthcare‑aligned AI governance blueprint defining oversight, accountability, and continuous validation; and a boardroom‑ready governance and prioritization model to assess risk, bias, explainability, and compliance.
Deepak Mittal, MBA, MS, FRM
Michael Bouton M.D, M.B.A
Dr. Alexander J. Blood, MD, MSc, FACC, ABOM
Charles Boorady
Umair A. Shah, MD, MPH