Generative AI-Based Simulation for Diagnostic Communication in Type 2 Diabetes (DIALOGUE-DM2)

This randomized controlled trial evaluates the effectiveness of a generative artificial intelligence (AI)-based simulation program in improving diagnostic communication skills among medical students. The study is conducted at the Faculty of Higher Studies Iztacala, National Autonomous University of Mexico (UNAM). A total of 120 medical students are randomized to either an intervention group using the DIALOGUE-DM2 AI simulation platform or a control group following traditional educational methods. Participants complete a pre-test, receive training according to group assignment, and then undergo a post-test evaluation. The primary outcome is improvement in diagnostic communication skills, measured by standardized patient scenarios and validated rubrics. Secondary outcomes include self-reported confidence, communication domains, and inter-rater agreement between faculty evaluators and AI scoring. This trial aims to provide high-quality evidence on the potential of generative AI to enhance communication training in medical education, specifically in the context of type 2 diabetes diagnosis.

NCT Number	NCT07252193
Lead Sponsor	Universidad Nacional Autonoma de Mexico
Conditions	Type 2 Diabetes Mellitus, Medical Education, Diagnostic Communication, Artificial Intelligence Simulation
Enrollment	120 participants
Start Date	2025-09-22
Primary Completion	2025-12-18 (estimated)
Study Completion	2025-12-20 (estimated)
Updated on ClinicalTrials.gov	2025-12-29