Addressing Fragmented Clinical Governance
New Index Maps Global AI Health Policy Trends
Mount Sinai researchers analyze over 240 policies to reveal a fragmented regulatory landscape for clinical AI.
A digital map on a tablet screen showing various data points related to global AI policies in a clean, modern medical research setting.
Photo: Avantgarde News
Investigators at the Icahn School of Medicine at Mount Sinai launched the Health & AI Policy Index to track global regulations [1]. The research, published in npj Digital Medicine, examined more than 240 policies issued between 2016 and 2025 [1]. The team found that current governance lacks a unified international standard for using AI in clinical settings [1].
The index provides a framework to compare how different regions manage AI deployment and monitoring [1]. According to the researchers, the landscape remains fragmented despite the rapid growth of technology [1]. This tool aims to help policymakers and healthcare providers navigate complex legal requirements [1].
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Avantgarde News Desk covers addressing fragmented clinical governance and editorial analysis for Avantgarde News.