Clinical Case-Oriented Virtual Simulation Experiment Report on the Urinary System
DOI: https://doi.org/10.62517/jmpe.202618202
Author(s)
Xuxu Hong
Affiliation(s)
School of Sociology, China University of Political Science and Law, Beijing, China
Abstract
With the ongoing digital transformation of modern medical education, virtual simulation experiments have emerged as a critical pedagogical tool for enhancing clinical reasoning and practical competencies among medical and health professions students. This report provides a comprehensive analysis of the "Clinical Case-Oriented Virtual Simulation Experiment on the Urinary System," accessed through the National Virtual Simulation Experiment Teaching Project Sharing Platform (ilab-x.com). The experiment utilized high-fidelity 3D modeling and interactive case-based reasoning to simulate the complete diagnostic and pathological analysis workflow for common urinary system disorders. Key activities included medical history interpretation, selection and interpretation of laboratory investigations, three-dimensional anatomical identification, and exploration of disease mechanisms. The experiment yielded a comprehensive score of 95 out of 100, indicating a strong foundational understanding of urinary system structure, function, and the pathophysiology of conditions such as acute glomerulonephritis. However, the detailed feedback also identified specific areas for improvement, including diagnostic precision, mastery of fine anatomical details, and the integration of pathological theory with clinical presentation. By effectively bridging theoretical knowledge with clinical application, the experiment strengthened critical thinking and practical skills, establishing a solid foundation for future clinical training. This report expands upon the experimental process by incorporating a detailed review of the relevant research background, theoretical frameworks underpinning simulation-based education, and a deeper discussion of the educational implications and future directions for this technology.
Keywords
Virtual Simulation Experiment; Urinary System; Clinical Case; Medical Education; Experiential Learning; Experiment Report
References
[1] Issenberg, S. B., McGaghie, W. C., Petrusa, E. R., Lee Gordon, D., & Scalese, R. J. (2005). Features and uses of high-fidelity medical simulations that lead to effective learning: a BEME systematic review. Medical Teacher, 27(1), 10-28.
[2] Lateef, F. (2010). Simulation-based learning: Just like the real thing. Journal of Emergencies, Trauma, and Shock, 3(4), 348-352.
[3] LI Hua, Wang Wei, Zhang Min. Current status and trend analysis of virtual simulation experiments in medical education. Chinese Journal of Medical Education, 2024, 44(3): 205-210.
[4] Cook, D. A., Hatala, R., Brydges, R., Zendejas, B., Szostek, J. H., Wang, A. T. & Hamstra, S. J. (2011). Technology-enhanced simulation for health professions education: a systematic review and meta-analysis. JAMA, 306(9), 978-988.
[5] Kolb, D. A. (1984). Experiential learning: Experience as the source of learning and development. Prentice-Hall.
[6] Lave, J., & Wenger, E. (1991). Situated learning: Legitimate peripheral participation. Cambridge University Press.
[7] Sweller, J. (1988). Cognitive load during problem solving: Effects on learning. Cognitive Science, 12(2), 257-285.
[8] Van Merriƫnboer, J. J., & Sweller, J. (2005). Cognitive load theory and complex learning: Recent developments and future directions. Educational Psychology Review, 17(2), 147-177.
[9] Chen Xiaohong, Liu Yang, Zhao Jing. Practical research of case-based virtual simulation teaching system in urinary system disease teaching. China Higher Medical Education, 2023, 37(8): 56-58.
[10]Wu Xiaodong, Wang Sihan, Li Mengqi. Research on the reform path of medical experimental teaching under the digital background: exploration based on virtual simulation technology. China Medical Education Technology,2023,37(5):534-538.
[11] Sun Jianguo, Zhou Lina, Wu Zhiqiang. Construction and application effect evaluation of medical virtual simulation experiment teaching platform. Experimental Technology and Management, 2025, 42(1): 112-116.
[12] Liu Huimin, Zheng Haoran. Design and implementation of clinical thinking training virtual simulation system: taking nephrology as an example. Medical Education Research and Practice, 2024, 32(2): 289-293.