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 organizations don't plateau at AI-Assisted because the technology isn't ready. They plateau because AI transformation is an organizational problem, not a technology one ā and Stage 4 isn't something you buy, it's something you become.
Health systems have the most AI money can buy and are the most stuck. The governance that makes clinical AI safe makes operational change impossible ā which is why the biggest organizations plateau longest.