Mahrokh M. Kobeissi DNP, APRN, FNP-C , Diane M. Santa Maria DrPH, ACRN, PHNA-BC, FAAN , Jung In Park PhD, RN, FAMIA
{"title":"Artificial intelligence 101: Building literacy with the AI-ABCs framework","authors":"Mahrokh M. Kobeissi DNP, APRN, FNP-C , Diane M. Santa Maria DrPH, ACRN, PHNA-BC, FAAN , Jung In Park PhD, RN, FAMIA","doi":"10.1016/j.outlook.2025.102445","DOIUrl":null,"url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":54705,"journal":{"name":"Nursing Outlook","volume":"73 4","pages":"Article 102445"},"PeriodicalIF":4.1000,"publicationDate":"2025-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nursing Outlook","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0029655425000983","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"NURSING","Score":null,"Total":0}
引用次数: 0
Abstract
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.
期刊介绍:
Nursing Outlook, a bimonthly journal, provides innovative ideas for nursing leaders through peer-reviewed articles and timely reports. Each issue examines current issues and trends in nursing practice, education, and research, offering progressive solutions to the challenges facing the profession. Nursing Outlook is the official journal of the American Academy of Nursing and the Council for the Advancement of Nursing Science and supports their mission to serve the public and the nursing profession by advancing health policy and practice through the generation, synthesis, and dissemination of nursing knowledge. The journal is included in MEDLINE, CINAHL and the Journal Citation Reports published by Clarivate Analytics.