The Governance Gap in Clinical AI
This Regulatory Review article analyzes the governance implications of the U.S. Department of Health and Human Services’ proposed HTI‑5 rule, which would scale back transparency and risk‑management requirements for AI-based decision support interventions in certified electronic health records. It warns that removing model‑card disclosures, source-attribute reporting, and structured intervention risk management could widen the safety and accountability gap for clinical AI.
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.