Healthcare AI Governance Shifts from Data Tiers to Reversibility Controls
The interesting move here is reframing healthcare AI risk around what agents can undo, not just what data they can see — a control model that generalises beyond hospitals to any regulated sector deploying agentic systems. Compliance leads and CIOs evaluating agent deployments can use reversibility as a concrete procurement and audit criterion. It complements rather than replaces existing data-classification frameworks.