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：

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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

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26.	劉榮. 智能醫學時代醫生的轉型. 腹腔鏡外科雜志, 2018, 23(1): 1-3.
27.	紀大海. 教育現代化: 釋放人的本質力量. 教育與教學研究, 2019, 33(7): 封2.
28.	商慶龍, 李勇, 嵩鈺佳, 等. 醫學創新教育的現狀與機遇. 中華醫學教育雜志, 2019, 39(5): 337-340.
29.	陳興中, 向晏平. 人工智能時代教師是否還具備競爭力. 教育科學論壇, 2019(25): 4-14.
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31.	常廣建, 劉亞卓, 袁少偉. 人工智能在學生課堂行為特征分析中的應用與設計. 電腦迷, 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, 李為民. 5G時代醫療服務模式變革趨勢探討. 華西醫學, 2019, 34(12): 1331-1334.
4. 陳研, 李慧, 李聯源, 等. 獻禮人民衛生出版社建社65周年: 醫學類電子期刊應用5G技術推動醫學教育發展的辦刊新模式思考. 創傷與急診電子雜志, 2018, 6(2): 56-62.
5. 丁偉一, 潘慶忠. 新時代繼續教育特征與信息化建設探索. 中國成人教育, 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. 趙天潤. 5G移動通信技術及發展趨勢研究. 信息系統工程, 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. 吳曉慧, 牛志昂, 方新宇, 等. 計算精神醫學: 機器學習在精神科的應用淺析. 中華精神科雜志, 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. 黃歡, 趙鋼. 人工智能在醫療及神經病學領域的應用. 華西醫學, 2018, 33(6): 639-643.
14. 林緯, 程雪松, 陳研, 等. 基于5G網絡開展醫防融合教育的醫學教育模式新探索. 創傷與急診電子雜志, 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. 曹暉, 顧佳毅. 人工智能醫療給外科醫生帶來的挑戰、機遇與思考. 中國實用外科雜志, 2018, 38(1): 28-33.
17. 劉軍, 尹彤. 人工智能及其在心血管精準醫療中的應用. 中華心血管病雜志, 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, 楊志平, 樊代明. 整合醫學再探. 醫學與哲學, 2013, 34(3A): 6-11, 27.
20. 孫悅佳, 孔北華, 付英杰, 等. 整合醫學與醫患關系. 醫學與哲學, 2019, 40(6): 60-63.
21. 賈曉巍, 張太平, 葉欣, 等. 臨床決策在實踐中的維度與迷失. 中華臨床營養雜志, 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. 萬新紅, 宿寧, 彭細如, 等. 智能導診機器人在醫院門診的應用. 國際醫藥衛生導報, 2018, 24(24): 3752-3753, 3778.
26. 劉榮. 智能醫學時代醫生的轉型. 腹腔鏡外科雜志, 2018, 23(1): 1-3.
27. 紀大海. 教育現代化: 釋放人的本質力量. 教育與教學研究, 2019, 33(7): 封2.
28. 商慶龍, 李勇, 嵩鈺佳, 等. 醫學創新教育的現狀與機遇. 中華醫學教育雜志, 2019, 39(5): 337-340.
29. 陳興中, 向晏平. 人工智能時代教師是否還具備競爭力. 教育科學論壇, 2019(25): 4-14.
30. HTC 威愛教育. 5G時代下VR教育的探索新星. (2019-10-23)[2019-12-04]. http://www.sohu.com/a/348929835_356235.
31. 常廣建, 劉亞卓, 袁少偉. 人工智能在學生課堂行為特征分析中的應用與設計. 電腦迷, 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.

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Development and prospect of medical education based on 5G technology

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