Core competencies of clinical nursing educators in the AI era: a qualitative study

作者：Ting Luo, Yu-Hang Chen, Xue-Qing Gan, Chao Hu, Xiao-Xia Lin, Shuxia Deng, Qian Yang · 发表于：BMC Nursing · 年份：2026 · DOI：10.1186/s12912-026-04686-w · 被引用次数：2 · 研究领域：Medicine

As artificial intelligence (AI) becomes increasingly integrated into healthcare and nursing education, existing competency standards and training systems for clinical nursing educators are no longer sufficient to meet the demands of technology-enabled teaching. This study aimed to explore the lived experiences and perceived competency demands and training needs of clinical nursing educators in the AI era, and to provide empirical evidence to inform competency framework development and training-system optimization. A descriptive phenomenological qualitative study was conducted in four tertiary hospitals in Chengdu, China, between July and September 2025. Fourteen clinical nursing educators were recruited using purposive sampling. Data were collected through semi-structured interviews and analyzed using Colaizzi’s seven-step method. Five themes and 17 subthemes were identified. The core competency framework comprised four key domains: professional foundation and specialized technical skills, communication and humanistic care, AI tool application, and research translation. Training-system optimization involved four interrelated areas: systematic training design, incentive and support mechanisms, specialty-based and tiered teaching design, and the educational value and practical challenges of integrating AI into clinical teaching. These findings suggest that clinical nursing educators require both foundational teaching competencies and new AI-related capabilities. Clinical nursin...