Advancing nursing regulation in the digital era: Harnessing AI to bridge workforce gaps and strengthen practice competency and safety

IF 6.3 4区医学 Q1 NURSING

Journal of Nursing Regulation Pub Date : 2025-10-01 DOI:10.1016/j.jnr.2025.08.015

Elizabeth H. Zhong PhD , Nancy Spector PhD, RN, FAAN , Charlie O'Hara PhD , Nicole Livanos JD , Jose Delfin Castillo III PhD, MSNA, CRNA, APRN, FAANA

{"title":"Advancing nursing regulation in the digital era: Harnessing AI to bridge workforce gaps and strengthen practice competency and safety","authors":"Elizabeth H. Zhong PhD , Nancy Spector PhD, RN, FAAN , Charlie O'Hara PhD , Nicole Livanos JD , Jose Delfin Castillo III PhD, MSNA, CRNA, APRN, FAANA","doi":"10.1016/j.jnr.2025.08.015","DOIUrl":null,"url":null,"abstract":"<div><div>Projections point to persistent and potentially worsening nursing workforce shortages in the United States, with the resulting inadequate staffing posing a risk to patient care. Artificial intelligence (AI) offers a disruptive opportunity, not only to relieve staffing pressures but also to fundamentally reshape nursing roles and the healthcare infrastructure. This review aims to advance insight into AI's transformative potential in nursing by examining current and prospective applications of AI across five key domains: workforce planning, education, practice, regulatory frameworks, and the AI-human ecosystem. It highlights key innovations alongside emerging opportunities and risks tied to AI adoption, and it explores ethical concerns, gaps in regulatory guardrails, and implementation challenges that could hinder the responsible and effective integration of AI into nursing practice. Rather than offering definitive answers, the present review aims to encourage ongoing inquiry into the multifaceted role of AI in nursing, fostering solutions that are not only technologically advanced but also ethically sound and human-centered.</div></div>","PeriodicalId":46153,"journal":{"name":"Journal of Nursing Regulation","volume":"16 3","pages":"Pages 150-164"},"PeriodicalIF":6.3000,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Nursing Regulation","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2155825625001024","RegionNum":4,"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

Projections point to persistent and potentially worsening nursing workforce shortages in the United States, with the resulting inadequate staffing posing a risk to patient care. Artificial intelligence (AI) offers a disruptive opportunity, not only to relieve staffing pressures but also to fundamentally reshape nursing roles and the healthcare infrastructure. This review aims to advance insight into AI's transformative potential in nursing by examining current and prospective applications of AI across five key domains: workforce planning, education, practice, regulatory frameworks, and the AI-human ecosystem. It highlights key innovations alongside emerging opportunities and risks tied to AI adoption, and it explores ethical concerns, gaps in regulatory guardrails, and implementation challenges that could hinder the responsible and effective integration of AI into nursing practice. Rather than offering definitive answers, the present review aims to encourage ongoing inquiry into the multifaceted role of AI in nursing, fostering solutions that are not only technologically advanced but also ethically sound and human-centered.

查看原文本刊更多论文

在数字时代推进护理监管：利用人工智能弥合劳动力缺口，加强实践能力和安全

预测指出，美国护理人员短缺持续存在，而且可能会恶化，由此导致的人员不足给病人护理带来风险。人工智能（AI）提供了一个颠覆性的机会，不仅可以缓解人员压力，还可以从根本上重塑护理角色和医疗保健基础设施。本综述旨在通过研究人工智能在五个关键领域的当前和未来应用，深入了解人工智能在护理领域的变革潜力：劳动力规划、教育、实践、监管框架和人工智能-人类生态系统。报告强调了与人工智能应用相关的关键创新以及新出现的机遇和风险，并探讨了可能阻碍人工智能负责任和有效地融入护理实践的伦理问题、监管缺口和实施挑战。本综述的目的不是提供明确的答案，而是鼓励对人工智能在护理中的多方面作用进行持续探索，培养不仅在技术上先进，而且在道德上健全和以人为本的解决方案。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Journal of Nursing Regulation NURSING-

CiteScore

4.60

自引率

12.50%

发文量

审稿时长

54 days

期刊介绍： Journal of Nursing Regulation (JNR), the official journal of the National Council of State Boards of Nursing (NCSBN®), is a quarterly, peer-reviewed, academic and professional journal. It publishes scholarly articles that advance the science of nursing regulation, promote the mission and vision of NCSBN, and enhance communication and collaboration among nurse regulators, educators, practitioners, and the scientific community. The journal supports evidence-based regulation, addresses issues related to patient safety, and highlights current nursing regulatory issues, programs, and projects in both the United States and the international community. In publishing JNR, NCSBN''s goal is to develop and share knowledge related to nursing and other healthcare regulation across continents and to promote a greater awareness of regulatory issues among all nurses.