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CODE MEDI: A Collaborative Hackathon for Health Informatics Education
Hyeon Ji Kim1, Sona Ha1, Jaerang Go2
1Department of Data Sciences Convergence, Dong-A University, Republic of Korea.
Abstract:
The CODE MEDI program was a two-day medical artificial intelligence (AI) and software (SW) convergence hackathon jointly organized by the medical and computer science fields to promote interdisciplinary learning. 36 students (21 medical and 15 engineering/AI) formed seven mixed teams to develop healthcare-related prototype models. Post-event surveys showed high level of satisfaction (8.34 ± 1.75 on a 10-point scale) and strong agreement on teamwork, mentoring, and interdisciplinary learning. Major collaboration challenges included differences in technical terminology (46.8%). Word-cloud analysis of open-ended feedback highlighted knowledge, learning, medical, and experience as frequent themes. The program effectively fostered mutual understanding and practical AI application skills, demonstrating that hackathon-based learning can be a valuable model for integrating AI and software education into medical curricula.
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