Driving Artificial Intelligence Governance with Executive, Clinical, Operational Leadership and Accountability

As artificial intelligence (AI) adoption accelerates across healthcare, organizations must move beyond enthusiasm into structured accountability. This session explores how Hackensack Meridian Health (HMH) has built a scalable, multidisciplinary AI governance model—designed to safeguard patient trust, mitigate risk and drive clinically meaningful innovation. Through real-world examples, we will highlight how HMH’s governance model activates three critical layers: executive leadership, with strategic alignment and oversight at the enterprise level; clinical champions, with ground-level validation and integration within patient care; and business and risk leaders, with operational feasibility, ethical safeguards, and risk mitigation. Attendees will leave with practical strategies to adapt these layers into their own organizations—striking the balance between innovation and accountability amid increasing regulatory and ethical scrutiny.