Patient Safety and Artificial Intelligence in Clinical Care
A recent article in JAMA Health Forum outlines how health systems should monitor AI-related patient safety issues as clinical decision support tools become more prevalent. The authors call for routine test-case monitoring, robust event review processes when AI may contribute to harm, and detailed metadata capture to understand how AI systems operate in safety incidents, including potential bias-driven errors.
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.