The Governance Gap in Clinical AI
This analysis examines a proposed U.S. Department of Health and Human Services rule (HTI‑5) that would scale back transparency and risk‑management requirements for AI decision support tools in certified electronic health records. It warns that removing model cards, source‑attribute disclosures, and lifecycle risk‑management obligations could widen the governance gap for high‑impact clinical AI systems.
About LOG Standards
LOG Standards provides an independent accreditation signal for AI models used in healthcare, helping hospitals, care networks, and AI companies bring clinical AI readiness and governance into clearer conversations.
Our AI Intelligence Briefing tracks the latest developments in AI safety, AI in medicine, mental health AI, clinical AI governance, and regulatory policy — keeping healthcare stakeholders informed about the rapidly evolving AI landscape.