Development and prospect of medical education based on 5G technology_West China Medical Journal

Authors：

LIANG Shiqi ¹ ,  ZHOU Yong ² ,  LI Ka ¹

1. West China School of Nursing, Sichuan University / West China Hospital, Sichuan University, Chengdu, Sichuan 610041, P. R. China;
2. Gastrointestinal Surgery Center, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, P. R. China;

Corresponding author：

ZHOU Yong, Email: nutritioner@hotmail.com; LI Ka, Email: likalika127127@163.com

Keywords：

Fifth generation mobile networks; Medical education; Artificial intelligence

DOI：

10.7507/1002-0179.201911048

Video：

Export PDF Favorites Scan Get Citation

Abstract Full text Figures/Tables Video References Cited by

The development of the fifth generation mobile networks (5G) technology has brought great breakthroughs and challenges to clinical medicine and medical education. In the context of “5G + medicine”, the development of telemedicine, emergency rescue, intelligent analysis and diagnosis has opened up new horizons for clinical medicine. Facing the constant impact of high technology, the focus of medical education should be on the cultivation of students’ integrated medical view, critical thinking, communication abilities and skills, and creativity. The “5G + education” model will be presented by means of virtual reality, artificial intelligence, cloud computing and other technologies, providing a new direction for the development of medical education. This article summarizes the key points and prospects of medical education under 5G technology in order to provide a reference for the field of medical education to adapt to the changes in the 5G era.

Citation： LIANG Shiqi, ZHOU Yong, LI Ka. Development and prospect of medical education based on 5G technology. West China Medical Journal, 2020, 35(12): 1522-1526. doi: 10.7507/1002-0179.201911048 Copy

1.	Krittanawong C. The rise of artificial intelligence and the uncertain future for physicians. Eur J Intern Med, 2017, 48: e13-e14.
2.	Wiens MO, Kissoon N, Kabakyenga J. Smart hospital discharges to address a neglected epidemic in sepsis in low- and middle-income countries. JAMA Pediatr, 2018, 172(3): 213-214.
3.	周昀, 李为民. 5G时代医疗服务模式变革趋势探讨. 华西医学, 2019, 34(12): 1331-1334.
4.	陈研, 李慧, 李联源, 等. 献礼人民卫生出版社建社65周年: 医学类电子期刊应用5G技术推动医学教育发展的办刊新模式思考. 创伤与急诊电子杂志, 2018, 6(2): 56-62.
5.	丁伟一, 潘庆忠. 新时代继续教育特征与信息化建设探索. 中国成人教育, 2018(24): 122-124.
6.	Zhang Q, Chen J, Yang M, et al. Current status and job satisfaction of village doctors in western China. Medicine (Baltimore), 2019, 98(32): e16693.
7.	赵天润. 5G移动通信技术及发展趋势研究. 信息系统工程, 2019(7): 44.
8.	Meara JG, Leather AJ, Hagander L, et al. Global Surgery 2030: Evidence and solutions for achieving health, welfare, and economic development. Surgery, 2015, 158(1): 3-6.
9.	Roa L, Jumbam DT, Makasa E, et al. Global surgery and the sustainable development goals. Br J Surg, 2019, 106(2): e44-e52.
10.	吴晓慧, 牛志昂, 方新宇, 等. 计算精神医学: 机器学习在精神科的应用浅析. 中华精神科杂志, 2019, 52(3): 228-231.
11.	Galetsi P, Katsaliaki K, Kumar S. Values, challenges and future directions of big data analytics in healthcare: a systematic review. Soc Sci Med, 2019, 241: 112533.
12.	Poplin R, Varadarajan AV, Blumer K, et al. Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning. Nat Biomed Eng, 2018, 2(3): 158-164.
13.	黄欢, 赵钢. 人工智能在医疗及神经病学领域的应用. 华西医学, 2018, 33(6): 639-643.
14.	林纬, 程雪松, 陈研, 等. 基于5G网络开展医防融合教育的医学教育模式新探索. 创伤与急诊电子杂志, 2019, 7(1): 1-4.
15.	Wang C, Chen S, Zhu J, et al. China’s new 4 + 4 medical education programme. Lancet, 2019, 394(10204): 1121-1123.
16.	曹晖, 顾佳毅. 人工智能医疗给外科医生带来的挑战、机遇与思考. 中国实用外科杂志, 2018, 38(1): 28-33.
17.	刘军, 尹彤. 人工智能及其在心血管精准医疗中的应用. 中华心血管病杂志, 2019, 47(2): 153-156.
18.	Carter SM, Rogers W, Win KT, et al. The ethical, legal and social implications of using artificial intelligence systems in breast cancer care. Breast, 2019, 49: 25-32.
19.	樊星, 杨志平, 樊代明. 整合医学再探. 医学与哲学, 2013, 34(3A): 6-11, 27.
20.	孙悦佳, 孔北华, 付英杰, 等. 整合医学与医患关系. 医学与哲学, 2019, 40(6): 60-63.
21.	贾晓巍, 张太平, 叶欣, 等. 临床决策在实践中的维度与迷失. 中华临床营养杂志, 2019, 27(3): 129-132.
22.	Houssami N, Lee CI, Buist DSM, et al. Artificial intelligence for breast cancer screening: opportunity or hype?. Breast, 2017, 36: 31-33.
23.	Cleophas TJ, Zwinderman AH. Machine learning in medicine - a complete overview. Berlin: Springer, 2015: 424-426.
24.	Guyatt G, Voelker R. Everything you ever wanted to know about evidence-based medicine. JAMA, 2015, 313(18): 1783-1785.
25.	万新红, 宿宁, 彭细如, 等. 智能导诊机器人在医院门诊的应用. 国际医药卫生导报, 2018, 24(24): 3752-3753, 3778.
26.	刘荣. 智能医学时代医生的转型. 腹腔镜外科杂志, 2018, 23(1): 1-3.
27.	纪大海. 教育现代化: 释放人的本质力量. 教育与教学研究, 2019, 33(7): 封2.
28.	商庆龙, 李勇, 嵩钰佳, 等. 医学创新教育的现状与机遇. 中华医学教育杂志, 2019, 39(5): 337-340.
29.	陈兴中, 向晏平. 人工智能时代教师是否还具备竞争力. 教育科学论坛, 2019(25): 4-14.
30.	HTC 威爱教育. 5G时代下VR教育的探索新星. (2019-10-23)[2019-12-04]. http://www.sohu.com/a/348929835_356235.
31.	常广建, 刘亚卓, 袁少伟. 人工智能在学生课堂行为特征分析中的应用与设计. 电脑迷, 2018(25): 169.
32.	Wu ZY. A secure and efficient digital-data-sharing system for cloud environments. Sensors (Basel), 2019, 19(12).
33.	Cornetta G, Mateos J, Touhafi A, et al. Design, simulation and testing of a cloud platform for sharing digital fabrication resources for education. J Cloud Comput Adv Syst Appl, 2019, 8(1): 1-22.

1. Krittanawong C. The rise of artificial intelligence and the uncertain future for physicians. Eur J Intern Med, 2017, 48: e13-e14.
2. Wiens MO, Kissoon N, Kabakyenga J. Smart hospital discharges to address a neglected epidemic in sepsis in low- and middle-income countries. JAMA Pediatr, 2018, 172(3): 213-214.
3. 周昀, 李为民. 5G时代医疗服务模式变革趋势探讨. 华西医学, 2019, 34(12): 1331-1334.
4. 陈研, 李慧, 李联源, 等. 献礼人民卫生出版社建社65周年: 医学类电子期刊应用5G技术推动医学教育发展的办刊新模式思考. 创伤与急诊电子杂志, 2018, 6(2): 56-62.
5. 丁伟一, 潘庆忠. 新时代继续教育特征与信息化建设探索. 中国成人教育, 2018(24): 122-124.
6. Zhang Q, Chen J, Yang M, et al. Current status and job satisfaction of village doctors in western China. Medicine (Baltimore), 2019, 98(32): e16693.
7. 赵天润. 5G移动通信技术及发展趋势研究. 信息系统工程, 2019(7): 44.
8. Meara JG, Leather AJ, Hagander L, et al. Global Surgery 2030: Evidence and solutions for achieving health, welfare, and economic development. Surgery, 2015, 158(1): 3-6.
9. Roa L, Jumbam DT, Makasa E, et al. Global surgery and the sustainable development goals. Br J Surg, 2019, 106(2): e44-e52.
10. 吴晓慧, 牛志昂, 方新宇, 等. 计算精神医学: 机器学习在精神科的应用浅析. 中华精神科杂志, 2019, 52(3): 228-231.
11. Galetsi P, Katsaliaki K, Kumar S. Values, challenges and future directions of big data analytics in healthcare: a systematic review. Soc Sci Med, 2019, 241: 112533.
12. Poplin R, Varadarajan AV, Blumer K, et al. Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning. Nat Biomed Eng, 2018, 2(3): 158-164.
13. 黄欢, 赵钢. 人工智能在医疗及神经病学领域的应用. 华西医学, 2018, 33(6): 639-643.
14. 林纬, 程雪松, 陈研, 等. 基于5G网络开展医防融合教育的医学教育模式新探索. 创伤与急诊电子杂志, 2019, 7(1): 1-4.
15. Wang C, Chen S, Zhu J, et al. China’s new 4 + 4 medical education programme. Lancet, 2019, 394(10204): 1121-1123.
16. 曹晖, 顾佳毅. 人工智能医疗给外科医生带来的挑战、机遇与思考. 中国实用外科杂志, 2018, 38(1): 28-33.
17. 刘军, 尹彤. 人工智能及其在心血管精准医疗中的应用. 中华心血管病杂志, 2019, 47(2): 153-156.
18. Carter SM, Rogers W, Win KT, et al. The ethical, legal and social implications of using artificial intelligence systems in breast cancer care. Breast, 2019, 49: 25-32.
19. 樊星, 杨志平, 樊代明. 整合医学再探. 医学与哲学, 2013, 34(3A): 6-11, 27.
20. 孙悦佳, 孔北华, 付英杰, 等. 整合医学与医患关系. 医学与哲学, 2019, 40(6): 60-63.
21. 贾晓巍, 张太平, 叶欣, 等. 临床决策在实践中的维度与迷失. 中华临床营养杂志, 2019, 27(3): 129-132.
22. Houssami N, Lee CI, Buist DSM, et al. Artificial intelligence for breast cancer screening: opportunity or hype?. Breast, 2017, 36: 31-33.
23. Cleophas TJ, Zwinderman AH. Machine learning in medicine - a complete overview. Berlin: Springer, 2015: 424-426.
24. Guyatt G, Voelker R. Everything you ever wanted to know about evidence-based medicine. JAMA, 2015, 313(18): 1783-1785.
25. 万新红, 宿宁, 彭细如, 等. 智能导诊机器人在医院门诊的应用. 国际医药卫生导报, 2018, 24(24): 3752-3753, 3778.
26. 刘荣. 智能医学时代医生的转型. 腹腔镜外科杂志, 2018, 23(1): 1-3.
27. 纪大海. 教育现代化: 释放人的本质力量. 教育与教学研究, 2019, 33(7): 封2.
28. 商庆龙, 李勇, 嵩钰佳, 等. 医学创新教育的现状与机遇. 中华医学教育杂志, 2019, 39(5): 337-340.
29. 陈兴中, 向晏平. 人工智能时代教师是否还具备竞争力. 教育科学论坛, 2019(25): 4-14.
30. HTC 威爱教育. 5G时代下VR教育的探索新星. (2019-10-23)[2019-12-04]. http://www.sohu.com/a/348929835_356235.
31. 常广建, 刘亚卓, 袁少伟. 人工智能在学生课堂行为特征分析中的应用与设计. 电脑迷, 2018(25): 169.
32. Wu ZY. A secure and efficient digital-data-sharing system for cloud environments. Sensors (Basel), 2019, 19(12).
33. Cornetta G, Mateos J, Touhafi A, et al. Design, simulation and testing of a cloud platform for sharing digital fabrication resources for education. J Cloud Comput Adv Syst Appl, 2019, 8(1): 1-22.

West China Medical Journal

Development and prospect of medical education based on 5G technology

Abstract Full text Figures/Tables Video References Cited by

Previous Article

Next Article

Format

Content