Visual analysis of research hotspots and trends in the application of information technology in traditional Chinese medicine teaching from 2007 to 2022

doi:10.3760/cma.j.cn115259-20230320-00280

Chinese Journal of Medical Education ›› 2024, Vol. 44 ›› Issue (1): 39-43.DOI: 10.3760/cma.j.cn115259-20230320-00280

Previous Articles Next Articles

Visual analysis of research hotspots and trends in the application of information technology in traditional Chinese medicine teaching from 2007 to 2022

Hou Wenguang¹, Zhang Jingwen², Wang Wenjia¹, Wu Mengdie¹, Huang Xinyun¹, Li Jing¹

¹Department of Acupuncture, Yueyang Hospital of Integrated Chinese and Western Medicine Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai 200437, China;
²Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China

Received:2023-03-20 Online:2024-01-01 Published:2023-12-29
Contact: Li Jing, Email: 1971921250@qq.com
Supported by:
Yangfan Project of Science and Technology Committee of Shanghai Municipality(21YF1443800); The 20th Course Construction Project of Shanghai University of Traditional Chinese Medicine (SHUTCM2021KC145); The 21st Course Construction Project of Shanghai University of Traditional Chinese Medicine (SHUTCM2022KC022)

Abstract

Abstract: Objective The purpose of this study is to visualize the research hotspots and trends in the application of information technology in traditional Chinese medicine (TCM) teaching from 2007 to 2022. This analysis aims to provide valuable insights for the future of traditional Chinese medicine teaching. Methods To conduct this research, we retrieved relevant literature on the utilization of information technology in traditional Chinese medicine teaching from CNKI, Wanfang Data, and VIP Database. The data collection period ranged from January 1, 2007, to December 31, 2022. Visual analysis was performed using CiteSpace. Results A total of 2022 related literatures were included, the number of publications increased from 17 in 2007 to 55 in 2014, from 92 in 2015 to 341 in 2021, the number of publications slightly decreased to 282 in 2022; the top 5 high-frequency keywords in order were teaching reform (212 times),internet+ (201 times), TCM (193 times), online teaching (97 times), and teaching (93 times). The high-frequency words that began to appear after 2015 include virtual simulations related to information technology (73 times), which also serve as clustering words (cluster number 1), with experimental and practical teaching as the main content. Conclusions Research on the application of information technology in TCM teaching is experiencing steady growth. Teaching reform, internet,TCM and online teaching are research hotspots. Virtual simulation and practical training teaching are at the forefront of research.

Key words: Medicine, Chinese Traditional, Information technology, Visual analysis, Educational reform

CLC Number:

Hou Wenguang, Zhang Jingwen, Wang Wenjia, Wu Mengdie, Huang Xinyun, Li Jing. Visual analysis of research hotspots and trends in the application of information technology in traditional Chinese medicine teaching from 2007 to 2022[J]. Chinese Journal of Medical Education, 2024, 44(1): 39-43.

References

[1] 郑路. 信息技术与教育教学的深度融合创新策略[J].漯河职业技术学院学报,2018,17(5):75-77. DOI: 10.3969/j.issn.1671-7864.2018.05.022.
[2] 周冠双,汪晨,种潼薇,等.基于CiteSpace的“互联网+中医药”研究可视化分析[J].中医药导报,2022,28(8):164-170,176.DOI:10.13862/j.cn43-1446/r.2022.08.036.
[3] 马骥,王梦媛,王荣,等.信息技术在中医药信息化建设中的创新应用[J].世界科学技术-中医药现代化,2016,18(7):1113-1120.
[4] 肖勇,任子健,田双桂,等.我国中医药信息教育发展历程与展望[J].医学信息学杂志,2021,42(11):36-41.
[5] 黄新,杜娟娇,黄潇,等.互联网信息技术背景下中医外科学新型带教模式的探索[J].广西中医药大学学报,2021,24(1):91-94.
[6] 吴永贵,黄圣哲,邹小娟,等.线上线下混合式金课《中医诊断学》课程建设的探索[J].时珍国医国药,2021,32(6):1473-1477.
[7] 刘京丽,李姗姗.互联网时代中医思维模式对针灸推拿学实践教学体系构建的启示[J].中国教育信息化,2021(8):70-72,91.
[8] 吴文秀,张延英.基于信息化的中医护理课程教学评价研究[J].中国中医药现代远程教育,2021,19(1):192-193.
[9] 李鑫辉,何宜荣,苏丽清,等.浅谈“互联网+中医教育”的启发与思考——以湖南中医药大学《温病学》慕课为例[J].佳木斯职业学院学报,2016(3):268-269.
[10] 赵静,肖勇.基于知识图谱的中医药信息化研究可视化分析[J].中国卫生信息管理杂志,2023,20(5):838-846.
[11] 许悦, 徐桂华, 王庆, 等. 基于CiteSpace的中医药治疗化疗后骨髓抑制研究热点的可视化分析[J].世界科学技术-中医药现代化,2022,24(2):705-715. DOI: 10.11842/wst.20210305002.
[12] 陈瑶, 曾雪扬, 杨丰文, 等. 基于CiteSpace的中医药领域网状Meta分析的研究热点可视化分析[J].中国中药杂志,2020,45(18):4500-4509. DOI: 10.19540/j.cnki.cjcmm.20200324.501.
[13] 李阳滔, 郭素香, 陈慧. 基于CiteSpace可视化分析中医药领域儿童反复呼吸道感染研究热点和趋势[J].中国中医急症,2023,32(1):33-37,42. DOI: 10.3969/j.issn.1004-745X.2023.01.007.
[14] 胡晓玲,袁民.国内外在线学业情绪研究发展历程与对比分析——基于Citespace的文献计量分析[J].数字教育,2023,9(2):85-92.DOI:10.3969/j.issn.2096-0069.2023.02.013.
[15] 董蝶, 沈翠珍. 基于CiteSpace的精神分裂症护理与康复的可视化分析[J].护士进修杂志,2022,37(2):124-129. DOI: 10.16821/j.cnki.hsjx.2022.02.005.
[16] 潘霖, 宁全, 杨渝. 国内《黄帝内经》翻译研究的现状、问题和对策(2000～2019年)——基于文献计量和战略坐标分析[J].中医药管理杂志,2021,29(3):7-13.
[17] 李晓波, 吕栋. 高校“互联网+创新创业教育”改革:历程回顾、问题分析与策略研究[J].创新与创业教育,2022,13(6):51-57. DOI: 10.3969/j.issn.1674-893X.2022.06.008.
[18] 刘锦龙, 苏燕, 徐继辉, 等. 基础医学虚拟仿真实验教学平台建设及虚实结合的应用成效[J].高校医学教学研究(电子版),2020,10(1):44-51. DOI: 10.3868/j.issn.2095-1582.2020.01.10.
[19] 马艳苗, 周文静, 樊凯芳, 等. 虚拟仿真教学视域下中药学人才培养的继承与创新[J].中国中医药现代远程教育,2021,19(17):180-182. DOI: 10.3969/j.issn.1672-2779.2021.17.066.
[20] 潘礼庆, 沈晓冬. 机器人技术在中医领域中的应用[J].机器人技术与应用,2010(1):28-30. DOI: 10.3969/j.issn.1004-6437.2010.01.008.

Visual analysis of research hotspots and trends in the application of information technology in traditional Chinese medicine teaching from 2007 to 2022

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 10

Recommended Articles

Metrics

Comments

[1]	Wang Hui, Zhou Lihua, Li Ziye, Yan Xueqing. Visual analysis of research about interprofessional education of nursing [J]. Chinese Journal of Medical Education, 2023, 43(8): 570-573.
[2]	He Fei, Huang Chunyan, Yang Suhua, Hu Zhijian, Wang Xiaoqian, Wang Xinyan, Wang Qing, Liang Dong. Visual analysis of research hotspots and trends about teaching bases of public health practice in China [J]. Chinese Journal of Medical Education, 2023, 43(4): 241-244.
[3]	Xiang Jun, Xu Lili, Cai Min, Zhang Wen, Cai Dingfang, Yang Yunke. Visual analysis on standardized traditional Chinese medicine residency training research [J]. Chinese Journal of Medical Education, 2023, 43(4): 303-306.
[4]	Qian Neng, Zhou Hongkun, Yu Qingjiang. Visual analysis of formative assessment and inspiration of medical education [J]. Chinese Journal of Medical Education, 2023, 43(11): 861-865.
[5]	Li Yuhong, Yang Jin, Wang Yun, Gao Qiangguo, Guo Haiying, Xing Yizhan. Development of “AMU cloud teaching” platform and its application in medical cell biology teaching [J]. Chinese Journal of Medical Education, 2022, 42(6): 527-530.
[6]	Lu Xiuli, Liang Wenli, Huang Fenglian. Visual analysis of research hotspots of master of nursing specialist education in China [J]. Chinese Journal of Medical Education, 2022, 42(12): 1133-1137.
[7]	Jiang Hongyu, Liang Lei, Meng Yichen, Yan Min, Shi Jiazi, Wang Zhinong, Xiao Jianru, Lou Yan. The hot spot and evolution of online medical education modalities research from 2000 to 2021 [J]. Chinese Journal of Medical Education, 2022, 42(10): 903-906.
[8]	Jia Benli, Yang Xi, Wang Yong, Tang Tong. Application of mind map teaching method based on modern information technology in teaching of clinical practice in general surgery [J]. Chinese Journal of Medical Education, 2020, 40(9): 692-695.
[9]	Wei Lifeng, Li Yong, Liang Libo, Liu Jingjing, Zhang Gangyu, Jia Haonan, Wang Yameng, Fang Huiying, Jiang Kexin, Jiao Mingli. Research on hotspots and frontier trends of medical students' empathy based on CiteSpace visualization analysis software [J]. Chinese Journal of Medical Education, 2019, 39(10): 789-794.
[10]	Cui Jinmei, Liu Jinhua, Wang Jian, Zhang Xing. Construction and application on curricular of medical information technology based on electronic medical record [J]. Chinese Journal of Medical Education, 2018, 38(4): 511-514.