Research progress of artificial intelligence literacy in the field of nursing

In order to promote the application of artificial intelligence (AI) literacy in the nursing field in China, this study reviewed relevant domestic and international research to summarize the concept, measurement tools, frameworks, and current applications of AI literacy. Currently, AI literacy has been widely applied abroad in areas such as nursing career planning, assisted diagnosis, optimization of nursing workflows, electronic health records, and enhancement of patient awareness. However, challenges still remains, including relatively low literacy levels among certain group, and domestic researches in this area are in a preliminary stage. With the rapid advancement of digital technologies, enhancing AI literacy among nursing professionals has become an important trend. Researchers still face challenges such as insufficient operational proficiency, limited depth of understanding, and ethical concerns regarding data privacy and accountability. It is essential to strengthen the connection between nursing education and clinical practice. Through on-the-job training, simulated exercises, and public education initiatives, the AI literacy of nursing staff can be comprehensively improved, fostering its deeper integration into nursing practice to deliver safer and more efficient patient care. (为促进人工智能素养在我国护理领域的应用, 通过综述国内外相关研究, 总结人工智能素养的概念、测量工具、框架及其应用现状。目前, 国外已在护理职业规划、辅助诊断、护理流程优化、电子病历及患者认知提升等方面广泛应用人工智能素养, 取得一定成效, 但仍存在部分群体素养水平偏低的问题, 而国内相关研究尚处于起步阶段。随着数字技术快速发展, 提升护理人员人工智能素养已成为重要趋势。然而目前仍面临操作熟练度不足、理解深度有限、数据隐私与责任界定等伦理挑战。未来应加强护理教育与临床实践的衔接, 通过在职培训、模拟实训与科普教育等途径, 全面提升护理人员的人工智能素养, 推动其与护理实践深度融合, 以更安全、高效地服务患者。)