Artificial Intelligence (AI)-Based Simulators versus Simulated Patients in undergraduate programs: a protocol for a randomized controlled trial

Abstract

Background: Healthcare simulation is critical for medical education, with traditional methods using simulated patients (SPs). Recent advances in AI offer new possibilities with AI-based simulators. This study compares AI-based simulators and SPs in undergraduate medical education. Methods: A randomized controlled trial will be conducted to identify the effectiveness of delivering a simulation session around history taking skills to fifth-year medical students on their clinical years of study. This research protocol aims to examine and compare the effectiveness and user experience of artificial intelligence-based simulators compared to simulated patients. Discussion: This study will provide valuable insights into the comparative advantages of artificial intelligence-based simulators and simulated patients, which will guide decisions regarding their integration into health education and training programs.