White Paper on AI Healthcare Governance
A new white paper proposes a multi‑stakeholder governance model for AI in healthcare, built around technology, data, law, and ethics risk dimensions across the AI lifecycle. It introduces a “Troika” regulatory path combining differentiated regulation for various AI use cases, full‑process coverage of development and deployment, and shared responsibility among regulators, providers, and developers for clinical AI safety.
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.