Exploration of general practitioner training model based on artificial intelligence technology
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摘要: 全科医生(general practitioners, GPs)是以维护居民健康为目标，能供给所在社区居民的卫生服务需求，为他们提供治疗、健康知识科普、疾病预防等多方面卫生服务的复合型人才。我国全科医学事业正处于迅速发展阶段，近年来国家也加大了在社会医疗领域及高校全科医学教学方面的投入力度。但全科医生数量严重不足, 医疗水平有限, 制约了基层医疗卫生服务水平的提高。而全科医生培养过程中面临师资力量不足、培养模式单一，教学内容前沿性不足、涉及知识广度不够，继续教育困难、职业吸引力低等各种挑战，全科医生的培养模式及培养体系亟须进一步完善和丰富。随着科学技术不断发展，人工智能(artificial intelligence, AI)在教育、医学等领域取得了不菲的成就，这也为我国全科医生的培养模式改革带来了新的机遇。人工智能技术具有海量整合、信息挖掘、个性定制等诸多优势，搭乘人工智能快车，全面为全科医生培养赋能，将极大丰富全科医生培养模式并有效提升全科医生的职业吸引力，对推动批量合格、可靠及高服务水平全科医生的培养以及基层优秀全科医生人才队伍的建设至关重要。本文旨在提出传统全科医生培养过程中面临的问题，发现人工智能与全科医生培养结合的契机，探讨基于人工智能技术的全科医生培养解决新方案，以期为人工智能助力我国全科医生的培养提供参考，并对该模式的发展前景及发展方向进行展望。Abstract: General practitioners (GPs) aim at maintaining the health of residents. They can supply the health service needs of residents in their communities and provide them with treatment, health knowledge popularization, disease prevention and other health services. China's general practice is in a rapid development stage. In recent years, our country has also been increasing the investment in the social medical field and general practice teaching in colleges and universities. However, the number of GPs is seriously insufficient and the medical level is limited, which restricts the improvement of basic medical and health services. Moreover, during the training of GPs, it faces various challenges such as insufficient teachers, a single training model, insufficient frontiers of teaching content, insufficient breadth of knowledge involved, difficulties in continuing education, and low professional appeal. Therefore, the model and training system need to be further improved and enriched. With the continuous development of science and technology, artificial intelligence (AI) has made great achievements in education, medicine and other fields, which also brings new opportunities for the reform of the training mode of general practitioners in China. AI has many advantages such as mass integration, information mining, and personalization. Taking the AI express train to comprehensively empower GP training will greatly enrich the training mode of GPs and effectively enhance the professional appeal of GPs. It is very important to promote the cultivation of qualified, reliable and high-level GPs in batches and the construction of excellent GPs at the grassroots level. The purpose of this article is to present the problems faced in the training of traditional GPs, to discover the opportunity of combining AI and GP training, to explore new solutions of GP training based on AI technology, so as to provide reference for AI to assist the training of GPs in China, and to carry out the development prospects and development directions of this model looking forward.
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Key words:
- Community medicine /
- General practitioner /
- Artificial intelligence /
- Training model /
- Medical education
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[1] 李献青, 张玲. 公共健康视域下全科医生健康管理与指导能力的培养[J]. 保健医学研究与实践, 2020, 17(4): 77-81. https://www.cnki.com.cn/Article/CJFDTOTAL-GXBJ202004018.htm [2] 国家卫生和计划生育委员会. 2017中国卫生和计划生育统计年鉴[M]. 北京: 中国协和医科大学出版社, 2017: 40. [3] 雷秋瑾, 彭贵珍. 试论发达国家全科医生培养模式对我国的启示[J]. 南京中医药大学学报(社会科学版), 2018, 19(1): 50-55. https://www.cnki.com.cn/Article/CJFDTOTAL-NJZD201801010.htm [4] 高清晓, 宋月雁, 丁国锋. 澳大利亚全科医生培养模式对中国的启示[J]. 中国继续医学教育, 2020, 12(32): 89-93. doi: 10.3969/j.issn.1674-9308.2020.32.025 [5] 刘晓君, 吴明洋, 张琎, 等. 我国基层全科医学的建设现状与政策研究[J]. 中国卫生事业管理, 2017, 34(1): 47-50, 80. https://www.cnki.com.cn/Article/CJFDTOTAL-ZWSG201701017.htm [6] 武宁, 程明羕, 闫丽娜, 等. 中国全科医生培养发展报告(2018)[J]. 中国全科医学, 2018, 21(10): 1135-1142. doi: 10.3969/j.issn.1007-9572.2018.10.001 [7] 赵欣欣, 李觉, 吴恒璟. 社区全科医生科研培养路径的实践与思考[J]. 中华全科医学, 2019, 17(12): 1979-1981, 2091. https://www.cnki.com.cn/Article/CJFDTOTAL-SYQY201912001.htm [8] 徐跃, 汪蕾, 赵因. 轨道式医学人才培养模式-对继续教育衔接问题的探讨[J]. 继续医学教育, 2018, 32(11): 2-3. doi: 10.3969/j.issn.1004-6763.2018.11.002 [9] 孟晓宇, 王忠民, 景慎旗, 等. 医疗人工智能的发展与挑战[J]. 中国数字医学, 2019, 14(3): 15-17. https://www.cnki.com.cn/Article/CJFDTOTAL-YISZ201903007.htm [10] 韩佳丽, 丰雷. 人工智能在抑郁症领域中应用的研究进展[J]. 北京医学, 2020, 42(4): 317-319, 322. https://www.cnki.com.cn/Article/CJFDTOTAL-BJYX202004014.htm [11] 赵晓飞, 王红强, 高延征, 等. 机器人辅助微创通道下经椎间孔腰椎椎间融合术治疗腰椎退行性疾病临床分析[J]. 中华实用诊断与治疗杂志, 2020, 34(2): 144-147. https://www.cnki.com.cn/Article/CJFDTOTAL-HNZD202002011.htm [12] 刘颖, 蒋国平, 任菁菁. 我国全科医生培养现状与发展策略[J]. 中国工程科学, 2019, 21(2): 74-78. https://www.cnki.com.cn/Article/CJFDTOTAL-GCKX201902013.htm [13] 郝立晓, 王婷, 陈丽芬, 等. 全科医学学科知识和技能体系研究[J]. 中国全科医学, 2018, 21(19): 2269-2276. doi: 10.12114/j.issn.1007-9572.2018.19.001 [14] 韩一平, 张从昕, 刘燕敏, 等. 基于大数据技术的全科医学教育改革与研究[J]. 中华全科医学, 2017, 15(7): 1093-1096. https://www.cnki.com.cn/Article/CJFDTOTAL-SYQY201707001.htm [15] 闻婷玉, 梁冰, 李苗. 全科规培学员人文素质培养的探索与初步实践[J]. 中华全科医学, 2020, 18(4): 670-673. https://www.cnki.com.cn/Article/CJFDTOTAL-SYQY202004040.htm [16] 王潜, 左君丽, 顾政平, 等. 社区在职全科医生继续医学教育现况[J]. 解放军医院管理杂志, 2019, 26(4): 381-385. https://www.cnki.com.cn/Article/CJFDTOTAL-JFYG201904027.htm [17] 杨慧敏, 尹德卢, 辛倩倩, 等. 我国基层全科医生队伍现状和继续医学教育内容需求分析[J]. 中华全科医学, 2018, 16(10): 1591-1594. https://www.cnki.com.cn/Article/CJFDTOTAL-SYQY201810001.htm [18] 杨宇迪. 中国全科医生职业吸引力研究[D]. 武汉: 华中科技大学, 2019. [19] 刘忠仁, 李壮, 邓树嵩. 民族地区全科医生转岗培训的现状调查及效果评价[J]. 右江医学, 2019, 47(1): 56-59. doi: 10.3969/j.issn.1003-1383.2019.01.015 [20] 郑艳玲, 余芳, 陈艳黎, 等. 我国全科医生离职意愿及其影响因素分析[J]. 中华全科医学, 2019, 17(9): 1543-1546. https://www.cnki.com.cn/Article/CJFDTOTAL-SYQY201909032.htm -
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