Research on the development and application of a clinical clerkship management system empowered by digital intelligence

doi:10.3760/cma.j.cn115259-20250825-01007

Abstract

Abstract: Objective To explore the construction of a clinical clerkship management system based on digital and intelligent technologies and its effect on promoting the cultivation quality of medical students by ensuring clerkship quality and enhancing management efficiency. Methods A clinical clerkship management system was independently developed that integrates rotation management, attendance statistics, task tracking, teaching interaction, assessment and evaluation, and growth profiling functions. A total of 62 students from clinical medicine majors (″5+3″ integration) of the 2020 grade at Xuanwu Hospital Capital Medical University enrolled in the study to carry out systematic applications during their clerkship. The effectiveness of the system application was evaluated through exam scores, questionnaire surveys, and qualitative interviews. Results All 62 students completed their clinical clerkship as planned and passed the school assessment, with 58 students (93.5%) achieving a total score of 85 or above. The overall satisfaction rate of students with the system is 91.9% (57/62), and the average satisfaction rate with various functions is 92.8%. All 16 clerkship managers who participated in the questionnaire all believe that overall work efficiency and management ability have improved, while 14 of them believe that management costs (time, manpower, energy) have decreased by more than half overall. The 10 interviewed teaching staff all believe that the system has achieved refined management of practical teaching, which is beneficial for teaching evaluation and has promoted the improvement of teaching level. Conclusions The clinical clerkship management system empowered by digital intelligence has effectively enhanced management efficiency, helped ensure the quality of clerkship, and promoted the improvement of teachers′ teaching level and students′ training quality.

Key words: Students, medical, Clinical clerkship, Management system, Digital intelligence empowerment, Management effectiveness, Cultivation quality

CLC Number:

Zhang Binan, Chen Chao, Zhu Qingshuang, Wang Yajun. Research on the development and application of a clinical clerkship management system empowered by digital intelligence[J]. Chinese Journal of Medical Education, 2026, 46(10): 765-771, DOI: 10.3760/cma.j.cn115259-20250825-01007.

References

[1] 姚海燕, 邵丽, 周燕婷, 等. 数字化赋能,新范式管理:临床实习智慧化管理平台的构建路径[J].中国医学教育技术,2025,39(1):87-92. DOI: 10.13566/j.cnki.cmet.cn61-1317/g4.202501015.
[2] 王晓闪, 陈莉, 蔡小霞, 等. 护理硕士专业学位研究生自主学习能力现状及影响因素研究[J].卫生职业教育,2024,42(5):75-78. DOI: 10.20037/j.issn.1671-1246.2024.05.21.
[3] 陆垚, 文民刚, 龚艳艳, 等. 自驱成长:临床实习支持系统的开发与实践[J].中国医学教育技术,2025,39(1):6-10. DOI: 10.13566/j.cnki.cmet.cn61-1317/g4.202501002.
[4] 胡方进, 陈爱珍, 周小菊, 等. 医学生临床实习质量现状、影响因素及教学措施改进效果研究[J].中国医药指南,2025,23(33):185-188. DOI: 10.15912/j.issn.1671-8194.2025.33.054.
[5] 林巧玲, 刘宏清, 彭秋凤.基于微信企业号的临床实习系统设计及应用[J].教育教学论坛,2021(34):39-42.
[6] 龚垒, 范真.基于过程管理的实习系统对医学生实习效果提升的研究[J].现代职业教育,2021(35):82-83.
[7] 韩安波,张海峰, 赵峰, 等. 临床实习生综合信息管理系统的设计及应用[J].软件,2020,41(11):170-172.DOI: 10.3969/j.issn.1003-6970.2020.11.045.
[8] 林章雅, 林美燕, 涂师平, 等.临床实习教学信息化管理系统的创建与评价[J].中国高等医学教育,2020(4):25-26.DOI: 10.3969/j.issn.1002-1701.2020.04.013.
[9] Eskandarani R, Almuhainy A, Alzahrani A. Creating a master training rotation schedule for emergency medicine residents and challenges in using artificial intelligence[J]. Int J Emerg Med, 2024,17(1):84-90. DOI: 10.1186/s12245-024-00657-7.
[10] Nazara EM, Nasien D.Sistem employee attendance system using rapid application development method based on location based service[J]. JABT, 2024, 5(1):1-7. DOI:10.35145/jabt.v5i1.158.
[11] Zhang HQ, Li YQ. LightGBM indoor positioning method based on merged Wi-Fi and image fingerprints[J]. Sensors (Basel), 2021,21(11):3662-3679.DOI: 10.3390/s21113662.
[12] Wu HT. Establish a digital real-time learning system with push notifications[J]. Front Psychol, 2022,13:767389. DOI: 10.3389/fpsyg.2022.767389.
[13] 马志强, 张灵琳, 王靖. 融入智慧课程的AI学伴设计:内涵剖析、融合逻辑与模型构建[J].中国教育信息化,2026,32(1):39-52. DOI: 10.3969/j.issn.1673-8454.2026.01.004.
[14] Zhang J.Teaching electronic records management in the archival curriculum[J]. JELIS, 2016, 57(1):57-68. DOI:10.12783/issn.2328-2967/57/1/5.
[15] Chango W , Lara JA , Cerezo R ,et al. A review on data fusion in multimodal learning analytics and educational data mining[J].WIREs Data Min Knowl, 2022, 12(4):1458-1476.DOI:10.1002/widm.1458.
[16] Li QY, Duffy P, Zhang ZY. A Novel multi-dimensional analysis approach to teaching and learning analytics in higher education [J]. Systems, 2022, 10 (4): 96-113. DOI:10.3390/SYSTEMS10040096.
[17] Johnson HL, Cruthirds DF, Taylor LA, et al. Redefining faculty workload metrics: a data-driven approach[J]. J Prof Nurs, 2024,55:112-118. DOI: 10.1016/j.profnurs.2024.08.006.
[18] 王远帆, 刘胜, 陈派樟, 等. 利用ChatGPT等平台促进学生深度学习能力的探索[J].山西大同大学学报(自然科学版),2025,41(6):109-114.DOI: 10.3969/j.issn.1674-0874.2025.06.016.
[19] Moya GJ, Alcívar AY, Criollo CS, et al. Use of interactive technologies to increase motivation in university online courses [J]. Educ Sci, 2024, 14 (12): 1406-1406. DOI:10.3390/EDUCSCI14121406.
[20] 庄春玲, 李玉萍, 林云云, 等. 半结构访谈在构建轻度窒息新生儿出院计划干预方案中的应用[J].全科护理,2024,22(19):3731-3735. DOI: 10.12104/j.issn.1674-4748.2024.19.045.
[21] 曹丽萍, 李凌锐, 郭本俊.医院临床实习教学管理系统建设及应用[J].中国卫生信息管理杂志,2023,20(2):231-236.DOI: 10.3969/j.issn.1672-5166.2023.02.010.