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REVIEW article

Front. Med.
Sec. Healthcare Professions Education
Volume 11 - 2024 | doi: 10.3389/fmed.2024.1521712
This article is part of the Research Topic Large Language Models for Medical Applications View all 7 articles

The Application of ChatGPT in nursing: A Bibliometric and Visualized Analysis

Provisionally accepted
Peng Wang Peng Wang 1Qian Zhang Qian Zhang 1Wenyu Wenyu Zhang Wenyu Wenyu Zhang 2Jing Sun Jing Sun 3*
  • 1 Peking Union Medical College Hospital, Peking, China
  • 2 Dalian University, Dalian, Liaoning Province, China
  • 3 Peking University, Beijing, Beijing Municipality, China

The final, formatted version of the article will be published soon.

    Objective: With the development of ChatGPT, the number of studies within the nursing field has increased. The sophisticated language capabilities of ChatGPT, coupled with its exceptional precision, offer significant support within the nursing field, which includes clinical nursing, nursing education, and the clinical decision-making process. Preliminary findings suggest positive outcomes, underscoring its potential as a valuable resource for enhancing clinical care. However, a comprehensive analysis of this domain is lacking, and the application of bibliometric methods remains rare. This study aims to describe and predict the developmental trajectory of the discipline, identify research hotspots and trends, and provide a comprehensive framework for the integration of ChatGPT in nursing.Methods: Following the development of a search strategy in collaboration with librarians, the implementation of this strategy occurred in the Web of Science Core Collection (WoSCC) on June 30, 2024. For bibliometric and visual analyses-including evaluations of sources, institutions, countries, author collaboration networks, and keywords-Bibliometrix (version 4.4.2) and CiteSpace (version 6.2.R2 Basic) were employed.Results: A total of 81 articles published by 67 authors were retrieved from the Web of Science Core Collection database, covering the period of June 30, 2024. The number of published studies has exhibited an increasing trend. The 'European Journal of Cardiovascular Nursing' emerged as the most productive journals, while the USA, the UK, and China were identified as the leading countries in terms of publication output. The top ten keywords identified in this study include artificial intelligence, nursing education, large language models, ChatGPT, natural language processing, generative artificial intelligence, care, nursing practice, clinical decision-making, and deep learning. ChatGPT is an emerging tool in the nursing field, currently in the foundational research phase. While there is significant international collaboration, cooperation among author groups remains somewhat limited. Studies focusing on ChatGPT in nursing primarily concentrate on two key themes: (1) the deep learning of ChatGPT in nursing and (2) the feasibility of its application. It is essential for nurses across various specialties to collaborate in exploring the diverse applications of ChatGPT within their domains, thereby fostering the ongoing development and enhancement of this technology.

    Keywords: ChatGPT1, Nursing2, knowledge hotspots3, visualized analysis4, CiteSpace5

    Received: 02 Nov 2024; Accepted: 03 Dec 2024.

    Copyright: © 2024 Wang, Zhang, Wenyu Zhang and Sun. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Jing Sun, Peking University, Beijing, 100871, Beijing Municipality, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.