[1]严子涵.基于拟态主体间性理论的智能诊疗效率与边界治理研究[J].卫生经济研究,2026,43(05):67-70.
 YAN Zihan.Research on the Efficiency and Boundary Governance of Intelligent Diagnosis and Treatment Based on Mimetic Inter-subjectivity Theory[J].Journal Press of Health Economics Research,2026,43(05):67-70.
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基于拟态主体间性理论的智能诊疗效率与边界治理研究

卫生经济研究[ISSN:1004-7778/CN:33-1056/F]

卷:
43
期数:
2026年05期
页码:
67-70
栏目:
数智健康
出版日期:
2026-04-24

文章信息/Info

Title:
Research on the Efficiency and Boundary Governance of Intelligent Diagnosis and Treatment Based on Mimetic Inter-subjectivity Theory
作者:
严子涵1
1.上海理工大学智能科技学院,上海 200093
Author(s):
YAN Zihan
School of Artificial Intelligence Science and Technology, University of Shanghai for Science and Technology, Shanghai 200093, China
关键词:
拟态主体间性智能诊疗诊疗效率治理框架
Keywords:
mimetic inter-subjectivity intelligent diagnosis and treatment diagnostic efficiency governance framework
分类号:
R19
文献标志码:
A
摘要:
基于拟态主体间性理论与智能诊疗研究的适配性,从交互、功能与关系三个维度剖析智能诊疗在提高服务效率、增强决策精准性及提升医疗资源配置公平性方面的潜力。同时,审视智能诊疗的应用边界,揭示拟态沟通与真实共情、模拟推理与临床责任之间的差异。对此,应构建人性化的交互治理协作机制,建立全周期的功能治理责任体系,培育以人为中心的关系治理文化,从而推动智能诊疗应用的健康可持续发展。
Abstract:
Based on the adaptability of mimetic inter-subjectivity theory to intelligent diagnosis and treatment research, this study analyzed the potential of intelligent diagnosis and treatment in improving service efficiency, enhancing decision-making accuracy, and promoting equity in medical resource allocation from three dimensions: interaction, function, and relationship. At the same time, it examined the application boundaries of intelligent diagnosis and treatment, revealed the differences between mimetic communication and genuine empathy, as well as between simulated reasoning and clinical responsibility. In response, it is necessary to construct a human-centered interactive governance collaboration mechanism, establish a full-cycle functional governance responsibility system, and cultivate a people-centered relationship governance culture, thereby promoting the healthy and sustainable development of intelligent diagnosis and treatment applications.

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更新日期/Last Update: 2026-04-24