教育、赋权与提升护理声音：护理信息学领导者对护理领域人工智能发展之路的看法。
Education, empowerment, and elevating nursing voices: Nursing informatics leaders' perspectives on the path forward with artificial intelligence in nursing.
作者信息
Reading Turchioe Meghan, Pepingco Christianna, Ronquillo Charlene, Ferrara Stephen A, Topaz Max, Austin Robin, Lytle Kay
机构信息
Columbia University School of Nursing, New York, NY.
Columbia University School of Nursing, New York, NY.
出版信息
Nurs Outlook. 2025 Jul 11;73(5):102484. doi: 10.1016/j.outlook.2025.102484.
BACKGROUND
As artificial intelligence (AI) is rapidly transforming healthcare, there is a critical need to understand how AI can be thoughtfully integrated into nursing practice to support clinicians, reduce burden, and enhance patient care.
PURPOSE
We aimed to understand nursing informatics leaders' perspectives on AI's current and future state in nursing.
METHODS
We conducted a qualitative study with 20 national experts in nursing informatics. The Non-Adoption, Abandonment, Scale-up, Spread, Sustainability (NASSS) framework guided data collection and analysis using directed content analysis.
FINDINGS
Participants highlighted the unclear value of AI to nurses and of nurses to technology vendors and AI developers. They identified nursing-specific (burnout, education, and attitudes) and organization-specific (leadership and culture) factors that influence AI's integration in nursing. They highlighted how education, establishing ideal nurse-AI partnerships, and leveraging AI, may alleviate burnout.
DISCUSSION
Education, empowerment, and elevating nursing voices ("three e's") can guide the nursing profession to thrive in the era of AI.
背景
随着人工智能（AI）迅速改变医疗保健领域，迫切需要了解如何将AI巧妙地融入护理实践，以支持临床医生、减轻负担并改善患者护理。
目的
我们旨在了解护理信息学领导者对AI在护理领域当前和未来状况的看法。
方法
我们对20位全国护理信息学专家进行了定性研究。非采用、放弃、扩大规模、传播、可持续性（NASSS）框架指导使用定向内容分析法进行数据收集和分析。
结果
参与者强调了AI对护士以及护士对技术供应商和AI开发者的价值不明确。他们确定了影响AI融入护理的特定于护理的因素（职业倦怠、教育和态度）以及特定于组织的因素（领导力和文化）。他们强调了教育、建立理想的护士与AI合作伙伴关系以及利用AI如何减轻职业倦怠。
讨论
教育、赋权和提升护理声音（“三个E”）可以指导护理专业在AI时代蓬勃发展。
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