The research hotspots and trends of artificial intelligence technology in nursing management: a bibliometric study
In the field of nursing management, AI is transitioning from conceptual to practical application, demonstrating significant potential for enhancing decision-making and improving patient care. However, the field remains fragmented, with limited collaboration among authors and institutions. This study highlights AI's potential to transform nursing management while emphasizing the need for closer interdisciplinary and international cooperation. Future research should focus on addressing ethical concerns such as data privacy and transparency, and developing AI tools that integrate more effectively into nursing practice. While this study offers valuable insights, there are limitations, including the exclusion of non-English literature and reliance on bibliometric analysis, which may not fully reflect AI's real-world clinical applications. Looking ahead, fostering collaboration, improving ethical governance, and optimizing AI tools will be key to advancing AI in nursing management.
Authors
- Qing Hou (ORCID: https://orcid.org/0000-0002-3061-7090)
- Shanshan Jiang (ORCID: https://orcid.org/0000-0002-7841-9448)
- Lu Zhang (ORCID: https://orcid.org/0000-0002-1716-7662)
- Jianhua Li (ORCID: https://orcid.org/0000-0002-5438-1529)
- Jun Wei (ORCID: https://orcid.org/0000-0001-9950-0467)
- L Shen
Institutions
- Nanjing Traditional Chinese Medicine Hospital (CN)
- 81th Hospital of PLA (CN)
- Nanjing Chest Hospital (CN)
Publication Details
- Journal
- Frontiers in Medicine
- Published
- 2025-12-10
- DOI
- https://doi.org/10.3389/fmed.2025.1710269
- Citations
- 1
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.65