Healthcare AI governance should be designed as an enabler, not a blocker. The objective is consistent quality at speed.
Deployment teams need explicit controls for model updates, workflow integration and escalation paths that are understandable by clinical stakeholders.
When governance is operationalized early, adoption confidence increases and scaling decisions become far more predictable.