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Published, Version of Record (VoR)Open Access via Drexel Libraries Read and Publish Program 2025CC BY V4.0, Open
Journal article
Advancing AI Initiatives in Nursing Academics: Case Studies and Insights from Thought Leaders
Nursing outlook, v 73(5), 102527
Sep 2025
PMID: 40834824
Featured in Collection : Research Supported by Drexel Libraries' OA Programs
Abstract
Artificial Intelligence (AI) is transforming the landscape of healthcare and nursing research and education. As key stakeholders in this transformation, nursing faculty are crucial in driving strategic and operational AI initiatives to develop appropriate competence within the workforce to ensure the safe application of these technologies in nursing and care. To discuss the ways nursing faculty can be actively involved in AI initiatives a panel was convened at the Third International Workshop on Artificial Intelligence in Nursing (AINurse24). The panel delved into faculty involvement in AI initiatives including research collaborations, curriculum development, ethical considerations, and institutional policymaking. Panelists describe initiatives in their school/college. The summary presents five common themes, as informed by the workshop discussions: 1) nurses will benefit from initiating AI implementation in their school/college; 2) resource commitment to AI initiatives; 3) education to support AI competencies and workforce upskilling; 4) research; and 5) ethics.
•Nursing faculty drive AI through leadership and collaboration•Curricula integrate AI tools, concepts, and ethical training•Interdisciplinary teams enhance education and research impact•AI initiatives range from grassroots to institutionally funded
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Details
- Title
- Advancing AI Initiatives in Nursing Academics: Case Studies and Insights from Thought Leaders
- Creators
- Paulina Sockolow (Corresponding Author) - Drexel University, Health AdministrationMartin Michalowski - University of MinnesotaLaura-Maria Peltonen - University of TurkuLisiane Pruinelli - University of FloridaMaxim Topaz - Columbia University
- Publication Details
- Nursing outlook, v 73(5), 102527
- Publisher
- Elsevier
- Number of pages
- 6
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Health Administration
- Web of Science ID
- WOS:001584112900001
- Scopus ID
- 2-s2.0-105013648011
- Other Identifier
- 991022083455704721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Nursing