[1]毛海燕,刘继刚.生成式人工智能赋能智慧医疗的内在逻辑、现实挑战与治理策略[J].卫生经济研究,2026,43(07):19-24.
　MAO Haiyan,LIU Jigang.The Internal Logic, Practical Challenges, and Governance Strategies of Generative AI Empowering Smart Healthcare[J].Journal Press of Health Economics Research,2026,43(07):19-24.
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生成式人工智能赋能智慧医疗的内在逻辑、现实挑战与治理策略

卫生经济研究[ISSN:1004-7778/CN:33-1056/F]

卷:
43
期数:
2026年07期
页码:
19-24
栏目:
数智健康
出版日期:
2026-07-03

文章信息/Info

Title:
The Internal Logic, Practical Challenges, and Governance Strategies of Generative AI Empowering Smart Healthcare
作者:
毛海燕1; 刘继刚1
1.河南中医药大学管理学院，河南 郑州 450046
Author(s):
MAO Haiyan;  LIU Jigang
School of Management, Henan University of Traditional Chinese Medicine, Zhengzhou Henan 450046, China
关键词:
生成式人工智能; 智慧医疗; 健康中国战略; 数字技术
Keywords:
generative artificial intelligence;  smart healthcare;  Healthy China Strategy;  digital technology
分类号:
R19；TP309
文献标志码:
A
摘要:
生成式人工智能驱动智慧医疗的认知重构，重塑医疗体系的运行范式，促进医疗服务的精准普惠，但面临技术应用内生性风险、人机协同伦理冲突与权责界定难题，以及医疗产业生态系统性适配障碍。为此，应通过奠定安全可信的技术底座、完善公平透明的伦理法律框架、构建协同演化的医疗产业生态，扫除生成式人工智能发展障碍，助推智慧医疗稳健发展。
Abstract:
Generative artificial intelligence(AI) drives a cognitive restructuring of smart healthcare, reshapes the operational paradigm of the healthcare system, and promotes precise and inclusive healthcare services. However, Generative AI faces endogenous risks in technological application, ethical conflicts in human-machine collaboration, challenges in defining rights and responsibilities, and systemic adaptation barriers within the healthcare industry ecosystem. To address these challenges, it is necessary to remove obstacles to the development of generative AI by laying a secure and trustworthy technological foundation, improving a fair and transparent ethical and legal framework, and building a collaborative and evolving medical industry ecosystem, in order to promote the steady development of smart healthcare.

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更新日期/Last Update: 2026-07-03