National Coordinator for Health IT
Healthcare GTM
Global CMO VP Healthcare
Louis Marx Prof. & Chair, Dept. of Radiology
Chief Digital Health Officer
CMO
Partner, Team 8 & Former Head of CMS
Managing Partner
Managing Partner
AI is moving fast across health systems, but the real bottleneck is in adoption inside complex, regulated care environments. This report explores where AI is already creating value, why workflow fit and governance matter, and what it takes to scale trustworthy AI across clinical and operational settings.
Adoption – not capability – is the real challenge.
Healthcare leaders see the biggest constraint as deploying, governing, and scaling AI effectively, not the underlying technology itself.
Governance must be centralized, but adoption must stay flexible.
Reliable retrieval requires source‑system expertise (how data is structured, “gold standard,” and how it’s actually used).
The path to clinical AI is staged, not instant.
Near-term value comes first from patient engagement and administrative workflows, while more advanced clinical use cases require stronger trust, data maturity, and integration before they can scale.
