From Pilot to Practice: Building Scalable Artificial Intelligence Governance in Healthcare

Healthcare’s AI adoption has evolved from initial enthusiasm to facing critical challenges around deployment, monitoring and governance. With an overwhelming number of AI solutions in areas like breast imaging, health systems struggle to operationalize AI effectively and sustainably. This session delves into strategies for scaling clinical AI across complex healthcare organizations, highlighting real-world success in early cancer detection and improved patient outcomes through deliberate, policy-driven frameworks. The discussion will explore common obstacles such as internal misalignment, regulatory complexity, and fragmented data, and present a replicable governance model that treats AI accountability as a shared responsibility among clinical, operational and IT teams. Attendees will gain actionable insights on how to move beyond pilots to enterprise-wide AI governance, including frameworks for deployment decisions, performance monitoring and evolving policies, alongside technology advancements.