Internet Visualization Platform Combined with Clinical Pathway Teaching for Ovarian Serous/Mucinous Cystadenoma Education
1. Nine Departments of Health Care, Second Medical Center, General Hospital of Chinese People's Liberation Army, Beijing 100853, China
2. Department of Obstetrics and Gynecology, The 949th Chinese PLA Hospital, Altay 836199, China
3. Department of Obstetrics and Gynecology, First Medical Center, General Hospital of Chinese People's Liberation Army, Beijing 100853, China
| Abstract: | Objective To evaluate the clinical teaching efficacy of internet visualization platform integrated with clinical pathway mode for ovarian serous cystadenoma and mucinous cystadenoma. Methods Sixty gynecological interns and standardized residency trainees were randomly assigned into observation group and control group, with 30 cases in each. Conventional lecture and case observation were performed in the control group, whereas combined teaching of internet visualization platform and clinical pathway was applied in the observation group. Theoretical examination results, imaging differential diagnosis ability, clinical logical thinking scores and teaching satisfaction were statistically compared. Results The observation group exhibited markedly higher theoretical scores (90.2±4.5), imaging diagnosis accuracy (94.7±3.2)%, clinical thinking scores (91.5±3.8) and teaching satisfaction rate (96.7%) than the control group, with significant statistical differences (P<0.05). Conclusion Combined teaching mode of internet visualization and clinical pathway markedly improves teaching quality of benign ovarian tumors, optimizes pathological and imaging identification ability, and standardizes clinical thinking strategies. It is suitable for widespread application in gynecological clinical education. |
| Keywords: | Internet Visualization; Clinical Pathway; Ovarian Serous Cystadenoma; Ovarian Mucinous Cystadenoma; Gynecology Clinical Teaching; Standardized Residency Training |
| DOI: | 10.57237/j.mrf.2026.03.001 |
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Received: 7 May 2026
Accepted: 15 June 2026
Published Online: 7 July 2026
References
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