International Travel Medicine Center of Iran International Journal of Travel Medicine and Global Health 2322-1100 13 4 2025 12 01 Validation of a Multidimensional E-Learning Quality Model for Clinical Military Medical Training 276 287 230416 10.30491/ijtmgh.2025.537439.1500 EN Leila Vosoug BeneKoh PhD student, Department of Educational Management, Central Tehran Branch, Islamic Azad University, Tehran, Iran. Baharak Shirzad Kebria Associate Professor, Department of Educational Management and Higher Education, Central Tehran Branch, Islamic Azad University, Bsherzad86@yahoo.comTehran, Iran Fatemeh Hamidifar Associate Professor, Department of Educational Management and Higher Education, Central Tehran Branch, Islamic Azad University, Tehran, Iran Abbas Khorshidi Professor, Department of Educational Sciences, Islamshahr Branch, Islamic Azad University, Islamshahr, Iran. Journal Article 2025 07 27 Introduction<br>The present study was conducted to design a quality management model for e-learning in the clinical groups of military medical universities.<br>Method<br>This research is an exploratory mixed-methods design in terms of data type. The statistical population in the qualitative section consisted of experts and university professors experienced in the field of clinical e-learning, selected using purposive sampling of the theoretical type until theoretical saturation was achieved, resulting in 19 individuals being selected. In the quantitative part, there were 381 individuals, of whom 191 were selected using stratified random sampling. The data collection tool in the quantitative phase was a researcher-made questionnaire, which was developed by weighting the indicators derived from the qualitative section.<br>Results<br>The validated model comprises five key dimensions: Standards (prioritizing instructor competence), Planning (emphasizing resource management), Information Technology (focusing on system design), Continuous Quality Improvement (centered on quality control), and Evaluation (stressing internal assessment). All dimensions demonstrated strong reliability (α=0.784-0.983) and validity (AVE>0.50), with excellent model fit (SRMR=0.065, NFI=0.954). The Standard dimension ranked highest in importance, followed by Planning, IT, CQI, and Evaluation. Structural analysis confirmed significant factor loadings (0.755-0.963, p https://www.ijtmgh.com/article_230416_47bfce1ed8689f3ba5abf41c719b9ad9.pdf