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GovernanceAugust 17, 2026Source: The Regulatory Review

The Governance Gap in Clinical AI

This August 6, 2026 commentary examines a governance gap in U.S. clinical AI policy, focusing on the Department of Health and Human Services’ proposed HTI‑5 rule that would scale back transparency requirements for AI used in decision support interventions. HTI‑5 would remove model‑card transparency, source‑attribute disclosures, and intervention risk management provisions that had formed the first federal transparency requirements for predictive AI in certified electronic health records, raising concerns about oversight standards.

LOG Standards provides this short context and directs readers to the named publisher for the complete report. The source article remains the authoritative account of the underlying reporting.
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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.

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