%0 Journal Article
%T Understanding the Impact of Medical Humanities on Internship Training and Performance
%A Yu-Feng Wong
%A Shio-Jean Lin
%A Hsiu-Chi Cheng
%A Tung-Han Hsieh
%A Tzuen-Ren Hsiue
%A Han-Shu Chung
%A Mi-Yu Tsai
%A Meei-Ren Wang
%J Annals of Pharmacy Education, Safety, and Public Health Advocacy
%@ 3108-4850
%D 2025
%V 5
%N 1
%R 10.51847/Z1fogzPksy
%P 12-21
%X Medical humanities (MH) courses blend humanities with medical training to help students develop essential skills and empathy. Yet, how MH influences practical clinical performance during internships is not well established. This study investigated the effect of MH learning on internship outcomes. We analyzed the academic records of 1,364 medical students from eight admission cohorts. Student performance in basic sciences, clinical skills, and MH courses was evaluated, alongside internship grades. Machine learning models—including support vector machines, logistic regression, and random forests with ten-fold cross-validation—were applied to predict internship performance. Multiple regression was also used to determine MH’s independent impact. MH was a significant predictor of internship performance. Removing MH variables from models notably reduced predictive accuracy (e.g., logistic regression AUC dropped from 0.781 to 0.742). Regression analyses revealed that MH had the most potent independent effect on internship grades (OR: 1.29, P 
%U https://smerpub.com/article/understanding-the-impact-of-medical-humanities-on-internship-training-and-performance-sfph8lgdp2qdp0p