The healthcare AI governance landscape has shifted dramatically in the past 60 days, with new validation frameworks, governance playbooks, and peer-reviewed evidence that fundamentally challenge how CIOs should structure model risk programs. As federal deregulation accelerates clinical AI deployment, the liability burden is migrating squarely onto health system CIOs—making model registries, real-world validation, and embedded governance infrastructure mission-critical rather than optional.