Kobeissi Mahrokh M, Santa Maria Diane M, Park Jung In
Department of Graduate Studies, University of Texas Health Science Center at Houston Cizik School of Nursing, Houston, TX.
Department of Research, Cizik School of Nursing, Houston, TX.
Nurs Outlook. 2025 May 29;73(4):102445. doi: 10.1016/j.outlook.2025.102445.
The rapid advancements of artificial intelligence (AI) in healthcare have triggered a significant literacy gap among nursing professionals, raising concerns about implementation, ethical use, and impact on practice. This article introduces the AI-ABCs framework as a structured approach to building foundational AI literacy among nurse leaders, educators, and healthcare professionals. The framework was developed through a comprehensive literature synthesis and expert consultation in nursing informatics to identify essential components of AI literacy for healthcare professionals. The AI-ABCs framework provides an accessible entry point for AI literacy through three components: A-AI-Basics, B-Benefits and Challenges of AI, and C-Core Components and Terminologies in AI. The AI-ABCs framework offers nurse leaders and educators a structured approach to developing foundational AI literacy necessary for guiding policy development, curriculum integration, and ethical implementation in healthcare and educational settings, aligning with recommendations from key professional organizations.
人工智能（AI）在医疗保健领域的迅速发展引发了护理专业人员之间显著的知识差距，引发了对其实施、道德使用以及对实践影响的担忧。本文介绍了AI-ABCs框架，这是一种在护士领导者、教育工作者和医疗保健专业人员中建立基础AI知识的结构化方法。该框架是通过护理信息学领域的全面文献综合和专家咨询而开发的，以确定医疗保健专业人员AI知识的基本组成部分。AI-ABCs框架通过三个组成部分提供了一个易于理解的AI知识切入点：A-AI基础、B-AI的益处和挑战以及C-AI的核心组件和术语。AI-ABCs框架为护士领导者和教育工作者提供了一种结构化方法，以发展指导医疗保健和教育环境中的政策制定、课程整合及道德实施所需的基础AI知识，与关键专业组织的建议保持一致。
