A Q2–Q3 2026 poll of 507 healthcare leaders finds ambient AI is advancing fastest, but enterprise-scale adoption is constrained by governance, clinician trust, workforce readiness, and the need for post–go-live monitoring. The results suggest near-term momentum with clear execution and oversight gaps that could slow broader deployments across health systems.
A Q2–Q3 2026 poll of 507 healthcare leaders finds ambient AI is advancing fastest, but enterprise-scale adoption is constrained by governance, clinician trust, workforce readiness, and the need for post–go-live monitoring. The results suggest near-term momentum with clear execution and oversight gaps that could slow broader deployments across health systems.
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