Researchers Create First-of-Its-Kind Index of Evolving Policy Landscape Around Health Care AI

A study from the Icahn School of Medicine at Mount Sinai reveals rapid expansion of policies governing health care AI, though these policies remain fragmented.
Researchers analyzed 240 health care AI-related policies from 2016 to 2025 using a framework called the Health & AI Policy Index.
There is a lack of a unified governance framework for AI deployment and oversight in clinical settings, resulting from a patchwork of regulations and institutional guidance.
The research highlights the increasing use of AI tools in patient care and decision support, raising concerns about safety, accountability, transparency, and implementation standards.
Experts emphasize that successful AI adoption in health systems requires strong oversight and clear accountability rather than just implementation of new tools.
Researchers suggest that academic medical centers and large health systems play a growing role in shaping AI governance as its adoption accelerates.
The research aims to help policymakers, researchers, and health systems navigate the complex governance environment for clinical AI technologies.
Future studies will look at how different jurisdictions manage AI governance and how operational AI governance is implemented in clinical settings.

Researchers Create First-of-Its-Kind Index of Evolving Policy Landscape Around Health Care AI | Mount Sinai