AMIA supports the goals of the HTI-5 proposed rule to reduce burden, strengthen interoperability, and expand patient access through standards-based APIs. However, we caution that removing numerous certification criteria, particularly those related to privacy, security, and AI transparency, could introduce unintended risks. We urge clearer safeguards, phased implementation, equity protections […]
AMIA urges the U.S. Department of Health and Human Services to advance a risk-based, evidence-driven framework to support responsible AI adoption in clinical care. Key barriers include limited access to representative data, insufficient infrastructure, unclear return on investment, workforce readiness gaps, and weak governance structures. We recommend transparent oversight aligned […]