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