Physician AI quality review and clinical evaluation of AI-assisted medical outputs (ongoing across clinical roles)
TextEvaluated clinical case summaries, diagnostic recommendations, and AI-assisted clinical documentation for alignment with evidence-based medical guidelines and patient safety requirements. Assessed differential diagnoses and treatment recommendations against established standards of care, identifying reasoning errors, omissions, and potential safety risks in automated healthcare decision support outputs. Produced structured written expert feedback that highlighted model strengths, weaknesses, and improvement opportunities.•Reviewed AI-assisted documentation outputs for accuracy, completeness, and safety considerations.•Evaluated clinical reasoning by comparing suggested differentials and plans to standards of care.•Performed risk identification on model outputs, including safety and reasoning gaps.•Created structured written evaluations for technical and clinical stakeholders to support model improvement.