Last Update: 06/03/2026 at 4:01 AM EST
Health Care AI Policy Index
Coverage from HealthTech Analytics, Newswise, and others
Articles
4
Latest Article
06/02
Active Days
2
Executive Summary
Researchers at Mount Sinai created a new index to map health care AI policy across jurisdictions and institutions. The underlying finding is that oversight is expanding quickly, but remains fragmented, leaving health systems without a single unified framework for deployment, monitoring, and governance. The work emphasizes practical governance needs such as transparency, patient safety, and accountability.
Key Points
- Mount Sinai researchers built the Health & AI Policy Index to organize 240 health care AI policies published from 2016 to 2025.
- The policy environment is expanding rapidly, but authority remains split across regulators, governments, institutions, and standards organizations.
- There is no single unified framework for deploying, monitoring, and governing AI in clinical settings.
- The fragmented landscape may create operational and compliance burdens for health systems adopting AI.
- Transparency, patient safety, and accountability emerge as the most persistent governance concerns.
- The index is positioned as a tool for comparing jurisdictions and tracking how governance is implemented in practice.
Featured Article
Mount Sinai Icahn School researchers release a Health & AI Policy Index mapping 240 health care AI policies from 2016-2025 and find fragmented global oversight.
Coverage Timeline: 2 Days
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Additional Articles
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Mount Sinai researchers published a Jan 1, 2026 snapshot Health & AI Policy Index in npj Digital Medicine, mapping fragmented healthcare AI governance across 100+ issuers.
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Mount Sinai investigators published a June 1, 2026 study using the Health & AI Policy Index to map fragmented governance of health care AI policies from 2016 to 2025.
Will Moss created the Health and AI Policy Index (HAPI) to consolidate emerging U.S. healthcare AI policies across jurisdictions with summaries and trend analysis.