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[1]徐帆徐川李红霞张蕾舒婷.北京地区医疗机构人工智能应用现状调研与分析[J].中国卫生质量管理,2025,32(12):1-7.[doi:10.13912/j.cnki.chqm.2025.32.12.01]
　XU Fan,XU Chuan,LI Hongxia.Research and Analysis on the Current Application Status of Artificial Intelligence in Medical Institutions in Beijing[J].Chinese Health Quality Management,2025,32(12):1-7.[doi:10.13912/j.cnki.chqm.2025.32.12.01]

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北京地区医疗机构人工智能应用现状调研与分析

《中国卫生质量管理》[ISSN:1006-7515/CN:CN 61-1283/R] 卷: 32 期数: 2025年12期页码: 1-7 栏目: 特别关注出版日期: 2025-12-15

Title:: Research and Analysis on the Current Application Status of Artificial Intelligence in Medical Institutions in Beijing

作者:: 徐帆徐川李红霞张蕾舒婷; 国家卫生健康委医院管理研究所

Author(s):: XU Fan; XU Chuan; LI Hongxia; Institute of Hospital Management, National Health Commission

关键词:: 北京地区; 医疗机构; 人工智能; 应用现状

Keywords:: Beijing Region; Medical Institutions; Artificial Intelligence; Current Application Status

分类号:: R197.3

DOI:: 10.13912/j.cnki.chqm.2025.32.12.01

文献标志码:: A

摘要:: 目的全面调查北京地区医疗机构人工智能技术应用现状，为后期人工智能技术在医疗机构的应用提供参考。方法使用文献分析法收集相关资料并设计调查问卷，自主研发问卷调查工具，向北京市共计277所二级、三级医院，以及16个行政区划的社区卫生服务管理中心发放问卷，回收145份有效问卷。结果北京市二级、三级医院整体AI应用率为15.17%（22/145），基层医疗机构AI技术的使用覆盖了56.25%（9/16）的行政区域，且三方对于AI技术的应用主要集中于临床诊疗与患者服务领域。77.27%（17/22）的医疗机构以“直接采购”方式引入AI产品，仅少数机构具备合作研发或自建能力。仅9.65%（14/145）的医院设有AI审查监管部门，其中，专设伦理办公室的比例为7.14%（1/14）。多数从业者认可AI技术的应用能显著提升医疗效率与患者体验，同时担忧医生过度依赖AI会削弱临床判断能力。结论北京地区医疗机构在人工智能应用过程中面临着数据治理、监管与伦理审查、资金投入不平衡以及复合型人才需求与储备不匹配等多重挑战。为提升北京地区医疗机构的人工智能技术应用水平，促进医疗行业的智能化发展，需要政府、医疗机构等多方主体共同应对。

Abstract:: bjectiveTo conduct a comprehensive investigation into the current status of artificial intelligence (AI) technology applications in medical institutions across Beijing, providing references for the subsequent deployment of AI technologies in healthcare settings.MethodsRelevant data were collected using literature analysis, and a questionnaire was designed. An independent tool was developed to facilitate questionnaire distribution. The questionnaire was distributed to 277 secondary and tertiary hospitals in Beijing, along with community health service management centers across 16 administrative districts. A total of 145 valid questionnaires were retrieved.ResultsThe overall AI application rate in secondary and tertiary hospitals in Beijing was 15.17% (22/145). AI technology adoption in primary healthcare institutions covered 56.25% (9/16) of administrative regions. AI technology application by the three parties primarily focused on clinical diagnosis, treatment, and patient services. Among the medical institutions, 77.27% (17/22) introduced AI products through "direct procurement", with only a minority possessing capabilities for collaborative research and development or in-house development. Only 9.66% (14/145) of the hospitals had established AI review and regulatory bodies, with a mere 7.14% (1/14) having a dedicated ethics office. The majority of practitioners acknowledged that AI applications could significantly enhance medical efficiency and patient experience, while expressing concerns that excessive reliance on AI by physicians might undermine clinical judgment capabilities.Conclusion Medical institutions in Beijing face multiple challenges in the process of AI application, including data governance, regulatory and ethical oversight, imbalanced financial investment, and a mismatch between the demand for and availability of interdisciplinary talent. To elevate the level of AI technology application in Beijing’s medical institutions and promote intelligent development in the healthcare sector, collaborative efforts from multiple stakeholders, including the government and medical institutions, are required to address these challenges collectively.

参考文献/References:

［1］国务院. 关于印发新一代人工智能发展规划的通知［EB/OL］.(2017-07-08)［2025-02-01］.https://www.gov.cn/zhengce/content/2017-07/20/content_5211996.htm.［2］科技部. 关于支持北京建设国家新一代人工智能创新发展试验区的函［EB/OL］.(2019-02-21)［2025-02-01］.https://www.most.gov.cn/xxgk/xinxifenlei/fdzdgknr/qtwj/qtwj2019/201902/t20190221_145133.html.［3］北京市人民政府办公厅. 北京市加快医药健康协同创新行动计划（2024-2026年）［EB/OL］.(2024-05-15)［2025-02-01］.https://www.beijing.gov.cn/zhengce/zhengcefagui/202405/t20240523_3692425.html.［4］蒋帅, 王成增, 付航, 等. 高质量发展背景下智慧医院建设的关键问题及对策［J］. 中国医院管理,2022,42(11): 6-8.［5］李朝阳, 石磊. 医院数字化转型关键要素及推进路径探讨［J］. 中国医院管理,2023,43(1):53-56.［6］石宇,吴雅林,闫林杨,等.人工智能和虚拟现实技术在提升超声影像教学质量中的作用［J］.中国卫生质量管理,2024,31(11):20-24.［7］计虹, 王梦莹. 医院智慧管理体系构建与应用［J］. 中国卫生信息管理杂志,2021,18(2):164-168.［8］胥婷, 崔文彬, 于广军. 我国智慧医院建设现状及发展路径［J］. 中国医院,2020,24(3):1-3,10.［9］王盟,许岩,刘珏,等.智慧医院一体化运营管理平台的构建与应用［J］.中国卫生质量管理,2025,32(2):11-14.

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更新日期/Last Update: 2025-12-15