Why DSOs Mistake Scale for Maturity
Conventional wisdom says a 50-location group is far ahead of the solo practice on AI. Often it's behind: growth by acquisition doesn't scale AI, it scales AI Sprawl. Scale is not maturity.
Conventional wisdom says a 50-location group is far ahead of the solo practice on AI. Often it's behind: growth by acquisition doesn't scale AI, it scales AI Sprawl. Scale is not maturity.
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 AI is competing on the wrong variable. The most capable AI rarely wins ā the one that ships does. Capability is a commodity; deployment is the moat.
Healthcare organizations plateau because no one owns the operating layer ā the patient's journey across channels as one system. The durable question isn't who to hire; it's who owns AI transformation.