NURSE-COACHED, AI-AUGMENTED INTERPROFESSIONAL SIMULATION TO IMPROVE CLINICAL PERFORMANCE IN MEDICAL STUDENTS: A TWO-GROUP COMPARATIVE STUDY
Keywords:
nurses, medical education, teaching, improvement, analysisAbstract
Background: Interprofessional education (IPE) and simulation are increasingly used to improve clinical readiness, yet scalable delivery and high-quality feedback remain persistent bottlenecks. Objective: To evaluate whether nurse-coached, AI-augmented debriefing improves medical students’ clinical performance compared with standard faculty-led simulation. Methods: A two-group study was conducted with 175 medical students randomized to Control (faculty-led simulation; standard feedback) or Intervention (nurse co-facilitation, structured interprofessional debriefing, and analytics-supported feedback). Outcomes included OSCE performance, clinical reasoning, teamwork readiness, self-efficacy, and cognitive load at baseline and week 6. Results: Both groups improved; however, the Intervention group demonstrated larger gains in OSCE total score and teamwork measures, with clinically meaningful effect sizes and reduced perceived cognitive load. Conclusion: Nurse-coached, analytics-informed simulation is a practical, trend-aligned model that strengthens clinical performance and interprofessional readiness in medical students.
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