Quality & Patient Safety Nurse (AI Clinical Evaluation)

• Develop high-difficulty clinical quality and patient-safety cases and benchmark tasks .

• 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.

• Active Registered Nurse (RN) license in the United States .
• Approximately 8+ years of professional nursing experience .
• Significant experience in quality improvement, patient safety, clinical risk, or healthcare quality operations .
• Current or recent professional practice within the last 3 years.
• Strong experience reviewing complex clinical documentation and identifying safety, quality, or process concerns.
• Strong understanding of incident review, root-cause analysis, corrective actions, and quality-improvement methodologies.
• Ability to interpret fragmented clinical information and produce clear, defensible conclusions.
• Strong written English and ability to communicate quality and safety findings precisely.