- Develop high-difficulty clinical quality and patient-safety cases and benchmark tasks.
- Review longitudinal medical records, incident reports, clinical documentation, and care-process data.
- Identify patient-safety risks, documentation gaps, process failures, preventable harm, and quality concerns.
- Evaluate AI-generated outputs for clinical accuracy, safety, regulatory alignment, and quality-improvement relevance.
- Create gold-standard answers and clinically defensible reference solutions.
- Review adverse events, near misses, escalation failures, handoff issues, and system-level safety concerns.
- Assess quality-improvement recommendations, corrective actions, and process changes.
- Apply structured rubrics to evaluate clinical reasoning, terminology, documentation quality, and patient-safety implications.
- Participate in peer review, calibration, and resolution of complex quality or safety edge cases.
- Support cross-functional review involving nursing, physicians, pharmacy, case management, infection prevention, and hospital operations.