Conventional wisdom says big health systems will lead on AI. On the Maturity Model, the opposite is likely: when the bottleneck is deployment, not capability, the independent practice's small size is its advantage.
Healthcare organizations plateau because no one owns the operating layer — the patient's journey across channels as one system. The durable question isn't who to hire; it's who owns AI transformation.
As AI takes over the operational work, the question isn't what's left for people — it's which decisions must stay human. Execution scales; judgment doesn't.
After Operations-First AI comes the obvious question: how does an organization actually become AI-native? The Healthcare AI Maturity Model — Analog, Digital, AI-Assisted, AI-Native — is the map.
Healthcare doesn't need more AI tools — it needs an AI architecture: operations first, humans on the decisions, orchestration over automation, and production over demos.