生成式人工智能基层医疗应用风险及治理策略分析
作者:
作者单位:

(1.中国人民解放军陆军特色医学中心医学工程科 重庆 400042;2.中国人民解放军陆军特色医学中心信息科 重庆 400042)

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R-058

基金项目:

重庆市技术预见项目(项目编号:CSTB2022TFII-OFX0040); 重庆市科卫联合项目(项目编号:2024MSXM020)。


Analysis of the Risks and Governance Strategies for the Application of Generative Artificial Intelligence in Primary Healthcare
Author:
Affiliation:

(1.Department of Medical Engineering, Army Medical Center of PLA, Chongqing 400042, China;2.Department of Information, Army Medical Center of PLA, Chongqing 400042, China)

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    摘要:

    目的/意义 探讨生成式人工智能(generative artificial intelligence,GAI)在提升我国基层医疗服务能力方面的潜力、风险以及治理策略。方法/过程 通过文献综述、现状分析、实证列举等方法,分析GAI在基层医疗领域的应用潜力,从可靠性、医患沟通、语言障碍等方面探讨其应用于基层医疗的挑战。结果/结论 应采取构建高质量GAI数据平台、加强算法规范法治建设、深化医疗风险与伦理监管、鼓励公众参与、促进跨领域合作等策略,以实现GAI对基层医疗服务的有效赋能,提升整体医疗服务水平。

    Abstract:

    Purpose/Significance To discuss the potential, risks and governance strategies of generative artificial intelligence (GAI) in enhancing the capacity of primary health care services in China. Method/Process The application potential of GAI in primary healthcare is analyzed through literature review, current situation analysis, empirical enumeration,etc., and the challenges of GAI in primary healthcare are discussed from the aspects of reliability, doctor-patient communication and language barriers. Result/Conclusion Strategies such as building a high-quality GAI data platform, strengthening the construction of algorithmic norms and legal systems, deepening medical risk and ethical supervision, encouraging public participation, and promoting cross-domain cooperation should be adopted to realize the effective empowerment of GAI for primary medical services and improve the overall level of medical services.

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史森中,刘相花,聂瑞,等.生成式人工智能基层医疗应用风险及治理策略分析[J].医学信息学杂志,2025,46(1):17-21

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  • 最后修改日期:2024-07-26
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  • 在线发布日期: 2025-02-12
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