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Health AI Policy Fragmentation
Coverage from Newswise, HealthTech Analytics, and others
Health care AI oversight is expanding rapidly, but the rules and guidance remain dispersed across more than 100 regulators, governments, standards organizations, and other issuers.
The Health & AI Policy Index, developed by researchers associated with Mount Sinai and Cornell, analyzed 240 policies published from 2016 through 2025 and found that most activity emphasizes transparency and advisory guidance rather than unified, binding rules for clinical deployment. This fragmentation increases operational and compliance challenges for health systems and reinforces the need for clear internal oversight, accountability, and coordination.
The story has been modestly refined with more specific provenance and scope: the index is now tied to Mount Sinai and Cornell researchers, and the policy count is framed against a January 1, 2026 snapshot. The core conclusion remains the same—health AI oversight is growing quickly but remains fragmented and largely advisory.
The update sharpens the story by adding that the index now covers more than 100 issuing bodies and that state statutes are driving many of the strongest restrictions. It also reframes the audience from mainly health systems to include developers, regulators, and compliance teams navigating overlapping rules.