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Trends in artificial intelligence in nursing: Impacts on nursing management
Ching-Yi Chang1,2, Hsiu-Ju Jen1,2, Wen-Song Su3
1School of Nursing, College of Nursing, Taipei Medical University, Taipei, Taiwan.
Journal of Nursing Management
|August 15, 2022
Summary
This study analyzes artificial intelligence (AI) in nursing using bibliometric methods. AI shows potential to enhance nursing management, quality, and safety, warranting further research and collaboration.
Area of Science:
- Bibliometric analysis of scientific literature.
- Application of VOSviewer software for quantification.
Background:
- Bibliometric analysis is increasingly used across research fields.
- No prior bibliometric studies specifically analyzed artificial intelligence (AI) in nursing.
Purpose of the Study:
- To investigate the academic landscape of artificial intelligence (AI) in nursing.
- To provide structured information on AI developments and applications in nursing.
Main Methods:
- Bibliometric analysis of articles published from 1984 to March 2022.
- Searched six databases: Embase, Scopus, PubMed, CINAHL, Web of Science, and MEDLINE.
- Analyzed publication year, journals, country, institution, field, and keywords.
Main Results:
- The United States led in publications; League of European Research Universities published most studies.
- Key research fields included nursing, medical informatics, computer science AI, healthcare services, and physics.
- Common keywords were machine learning, care, AI, natural language processing, prediction, and nurse.
Conclusions:
- Articles predominantly published in 'Nurse Education Today'; AI-assisted recording and decision-making identified.
- AI in nursing has significant potential to attract researchers and managers.
- Further research on AI acceptability, implementation, and cross-domain collaboration is recommended.
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