人工智能赋能高职护理产教融合高质量发展的创新路径思考与实践

doi:10.3761/j.issn.1672-9234.2026.09.002

中华护理教育 ›› 2026, Vol. 23 ›› Issue (9): 1036-1040.doi: 10.3761/j.issn.1672-9234.2026.09.002

• 专题策划——“新双高”建设 • 上一篇下一篇

人工智能赋能高职护理产教融合高质量发展的创新路径思考与实践

张先庚^*(), 邓小利, 梁小利, 郑爽, 张文, 王红艳, 徐飞

四川护理职业学院成都市 610100

收稿日期:2026-01-05 出版日期:2026-09-15 发布日期:2026-09-15
通讯作者: *张先庚，女，博士，教授，E-mail：xiangeng_99@163.com
作者简介:张先庚
第一联系人：作者贡献声明
张先庚：研究设计、论文框架构建与撰写、最终审定；邓小利、梁小利：数据采集、平台建设与教学实施；郑爽、张文：路径实施、效果评估；王红艳：文献梳理、概念界定；徐飞：数据分析。
基金资助:
教育部职业教育发展中心职业教育教研教改课题(JZJG25161)

Thinking and practice on the innovative pathways for high-quality development of industry-education integration in higher vocational nursing empowered by artificial intelligence

ZHANG Xiangeng^*(), DENG Xiaoli, LIANG Xiaoli, ZHENG Shuang, ZHANG Wen, WANG Hongyan, XU Fei

Sichuan Nursing Vocational College， Chengdu 610100， China

Received:2026-01-05 Online:2026-09-15 Published:2026-09-15
Contact: *ZHANG Xiangeng，E-mail：xiangeng_99@163.com
Supported by:
Teaching Research and Reform Project in Vocational Education by the Center for Vocational Education Development，Ministry of Education(JZJG25161)

摘要/Abstract

摘要：

立足“健康中国”战略与人口老龄化加速的双重背景，针对高职护理产教融合面临的合作浅表化、仿真鸿沟、师资滞后、评价单一四类困境，基于自身特点，构建人工智能（artificial intelligence，AI）赋能路径：搭建产教融合数字平台实现资源智能匹配；运用知识图谱与数字孪生重构模块化课程，破解仿真鸿沟、伦理约束及人机协同能力培养难题；通过教师专业发展云平台锻造“双师+AI”融合型团队；构建全过程数据化评价体系实现精准诊断。实践表明，AI技术能有效打通信息壁垒、动态更新教学内容、量化评估综合能力，提升人才培养与产业需求的匹配度，推动校企协同向生态化演进。未来应深化“AI+护理教育+护理服务”融合机制，为“健康中国”建设培养更多高素质护理技术技能人才。

关键词: 人工智能, 高职护理, 产教融合, 发展路径

Abstract:

Against the dual background of the Healthy China Strategy and accelerating population aging，and addressing the four dilemmas facing industry-education integration in higher vocational nursing—superficial cooperation，the simulation gap，faculty lag，and unitary evaluation—this study constructs artificial intelligence（AI） enabled developmental pathways tailored to institutional features covering four core measures：constructing a digital platform for industry-education integration to achieve intelligent resource matching；reconstructing modular curricula using knowledge graphs and digital twins to address the simulation gap，ethical constraints，and human-AI collaborative nursing competency development；forging a dual-qualified instructor + AI teaching assistants integrated teaching team through a teacher professional development cloud platform；and building a full-process data-driven evaluation system to achieve precise diagnosis. Practical outcomes verify that AI technology can effectively break down information barriers，dynamically update teaching content，quantitatively assess comprehensive competencies，enhance the alignment between talent cultivation and industry needs，and promote the evolution of school-enterprise collaboration from point-to-point towards ecosystem-based synergy. Future efforts should deepen the integration mechanism of AI + nursing education + nursing services，so as to cultivate more high-quality nursing technical and skilled talents for advancing the Healthy China Strategy.

Key words: Artificial Intelligence, Higher Vocational Nursing, Industry-Education Integration, Development Pathways

张先庚, 邓小利, 梁小利, 郑爽, 张文, 王红艳, 徐飞. 人工智能赋能高职护理产教融合高质量发展的创新路径思考与实践[J]. 中华护理教育, 2026, 23(9): 1036-1040.

ZHANG Xiangeng, DENG Xiaoli, LIANG Xiaoli, ZHENG Shuang, ZHANG Wen, WANG Hongyan, XU Fei. Thinking and practice on the innovative pathways for high-quality development of industry-education integration in higher vocational nursing empowered by artificial intelligence[J]. Chinese Journal of Nursing Education, 2026, 23(9): 1036-1040.

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人工智能赋能高职护理产教融合高质量发展的创新路径思考与实践

Thinking and practice on the innovative pathways for high-quality development of industry-education integration in higher vocational nursing empowered by artificial intelligence

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