Artificial Intelligence in Nursing Decision-Making: A Bibliometric Analysis of Trends and Impacts.
Background: Nursing decision-making is pivotal for patient safety and care quality. While artificial intelligence (AI) offers transformative potential in this field, a comprehensive analysis of global research trends is lacking. Methods: We conducted a bibliometric analysis of 238 publications (197...
| Publicado en: | Nursing Reports Vol. 15; no. 6; pp. 198 - 214 |
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| Autores principales: | , , , , , , , , |
| Formato: | pictorial review tables/charts Journal Article |
| Publicado: |
MDPI
Jun2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=186260249&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 186260249 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 2039439X EGNT jtl: Nursing Reports issn: 2039439X maglogo: N pubinfo: dt: Jun2025 vid: 15 iid: 6 pid: 97109 pub: MDPI artinfo: ui: 186260249 186260249 186260249 10.3390/nursrep15060198 186260249 ppf: 198 ppct: 16 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Artificial Intelligence in Nursing Decision-Making: A Bibliometric Analysis of Trends and Impacts. aug: au: Hu, Mengdie Wang, Yan Liu, Yunsong Cai, Bingqing Kong, Fanjing Zheng, Qian Zhao, Dan Gao, Guanghui Hui, Zhouguang affil: Department of VIP Medical Services, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China sug: subj: Decision Making, Clinical Decision Making, Computer Assisted Artificial Intelligence Nursing Practice Bibliometrics Conceptual Framework Natural Language Processing Quality of Nursing Care Patient Safety Patient Centered Care Quality Improvement Geographic Factors United States China Canada United Kingdom ab: Background: Nursing decision-making is pivotal for patient safety and care quality. While artificial intelligence (AI) offers transformative potential in this field, a comprehensive analysis of global research trends is lacking. Methods: We conducted a bibliometric analysis of 238 publications (197 research papers, 41 reviews) from the Web of Science Core Collection (2003–2025) using CiteSpace and VOSviewer. Results: The results reveal growing interest (7.59% annually) in the field of AI in nursing decision-making, with contributions from 54 countries/regions. The USA leads in the number of publications, followed by China and Canada, while the United Kingdom stands out in terms of citation impact. Institutions such as Columbia University and Harvard Medical School dominate in both the publication volume and citation frequency. Journal analysis shows that the top three journals in terms of publication volume in this field are Cin-Computers Informatics Nursing, Journal of Nursing Management, and Applied Clinical Informatics. Keyword analysis highlights the significant potential of natural language processing technologies, particularly those based on large language models (e.g., ChatGPT), in nursing decision-making. Furthermore, emerging trends are evident, with the sudden appearance and rapid growth of keywords such as "patient safety" and "user acceptance", indicating a shift in research focus from purely technology-driven studies to a greater emphasis on the practical impact of AI technologies on nursing systems and their clinical applications. Conclusions: This study delineates the current landscape and evolving trends of AI in nursing decision-making, emphasizing its progression from theoretical frameworks to clinical integration, thereby providing valuable references for future research. pubtype: Academic Journal doctype: pictorial review tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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