Artificial intelligence in Nursing: A scoping review (Preprint)

Abstract

<sec> <title>BACKGROUND</title> The use of artificial intelligence in nursing is gaining speed, with increasing interest in the potential benefits to improve patient care and optimize nursing operations. In nursing the practical use of AI in direct patient care is limited, this study mapped out existing knowledge on AI in nursing. </sec> <sec> <title>OBJECTIVE</title> The objective of this review will be to identify, review, and synthesize current scientific research about artificial intelligence in nursing. </sec> <sec> <title>METHODS</title> A detailed database search using CINAHL Complete, Academic Search Complete, PUBMED, Medline and ScienceDirect was conducted following PRISMA guidelines, and relevant studies were identified. Inclusion criteria: Scholarly, peer-reviewed articles written in English within the last 2 years (2023 –2025). Exclusion criteria: Unpublished scholarly articles, reports, opinion papers, non-peer-reviewed articles, articles published before 2023, and articles published in any other language than English. Selected articles were screened, data extracted, analyzed and findings presented. </sec> <sec> <title>RESULTS</title> 39 eligible articles were retrieved for the research question about what is known about artificial intelligence in nursing. The results indicated 7 themes or categories: perceived benefits, perceived barriers, general concerns, ethical considerations, acceptance &amp; AI readiness, Knowledge, Familiarity, Attitudes and AI perception, and perceived facilitators. </sec> <sec> <title>CONCLUSIONS</title> The findings of this scoping review indicate that artificial intelligence has potential benefits in nursing. There are also concerns generally about ethical issues such as privacy. For successful implementation of AI in nursing, potential barriers should be mitigated and facilitators such as training nurses are necessary. </sec>

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