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Review
. 2024 Nov 1:7:100252.
doi: 10.1016/j.ijnsa.2024.100252. eCollection 2024 Dec.

Current trends and future implications in the utilization of ChatGPT in nursing: A rapid review

Manal Kleib  1 , Elizabeth Mirekuwaa Darko  1 , Oluwadamilare Akingbade  1 , Megan Kennedy  2 , Precious Majekodunmi  1 , Emma Nickel  3 , Laura Vogelsang  4
Affiliations
Review

Current trends and future implications in the utilization of ChatGPT in nursing: A rapid review

Manal Kleib et al. Int J Nurs Stud Adv. .

Abstract

Background: The past decade has witnessed a surge in the development of artificial intelligence (AI)-based technology systems for healthcare. Launched in November 2022, ChatGPT (Generative Pre-trained Transformer), an AI-based Chatbot, is being utilized in nursing education, research and practice. However, little is known about its pattern of usage, which prompted this study.

Objective: To provide a concise overview of the existing literature on the application of ChatGPT in nursing education, practice and research.

Methods: A rapid review based on the Cochrane methodology was applied to synthesize existing literature. We conducted systematic searches in several databases, including CINAHL, Ovid Medline, Embase, Web of Science, Scopus, Education Search Complete, ERIC, and Cochrane CENTRAL, to ensure no publications were missed. All types of primary and secondary research studies, including qualitative, quantitative, mixed methods, and literature reviews published in the English language focused on the use of ChatGPT in nursing education, research, and practice, were included. Dissertations or theses, conference proceedings, government and other organizational reports, white papers, discussion papers, opinion pieces, editorials, commentaries, and published review protocols were excluded. Studies involving other healthcare professionals and/or students without including nursing participants were excluded. Studies exploring other language models without comparison to ChatGPT and those examining the technical specifications of ChatGPT were excluded. Data screening was completed in two stages: titles and abstract and full-text review, followed by data extraction and quality appraisal. Descriptive analysis and narrative synthesis were applied to summarize and categorize the findings.

Results: Seventeen studies were included: 15 (88.2 %) focused on nursing education and one each on nursing practice and research. Of the 17 included studies, 5 (29.4 %) were evaluation studies, 3 (17.6 %) were narrative reviews, 3 (17.6 %) were cross-sectional studies, 2 (11.8 %) were descriptive studies, and 1 (5.9 %) was a randomized controlled trial, quasi-experimental study, case study, and qualitative study, respectively.

Conclusion: This study has provided a snapshot of ChatGPT usage in nursing education, research, and practice. Although evidence is inconclusive, integration of ChatGPT should consider addressing ethical concerns and ongoing education on ChatGPT usage. Further research, specifically interventional studies, is recommended to ascertain and track the impact of ChatGPT in different contexts.

Keywords: ChatGPT; Generative artificial intelligence (Gen AI); Nursing education; Nursing practice; Nursing research; Rapid review.

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Conflict of interest statement

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Figures

Fig 1:
Fig. 1
PRISMA flow chart.
Fig. 2:
Fig. 2
Geographical Distribution of Included Studies.
See this image and copyright information in PMC

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