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.

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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
Controls
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article

The research hotspots and trends of artificial intelligence technology in nursing management: a bibliometric study

Qing Hou, Shanshan Jiang, Lu Zhang, Jianhua Li et al.
1 citations
Frontiers in Medicine
Artificial Intelligence in Healthcare and Education
0.65
article

The research hotspots and trends of artificial intelligence technology in nursing management: a bibliometric study

Qing Hou, Shanshan Jiang, Lu Zhang, Jianhua Li, Jun Wei, L Shen
article en
1 citations

Abstract

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.

Frontiers in MedicineVol. 12
Nanjing Traditional Chinese Medicine Hospital (CN), 81th Hospital of PLA (CN), Nanjing Chest Hospital (CN)
Openalex Percentile: Top 19%
Artificial Intelligence in Healthcare and Education
0.65
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The research hotspots and trends of artificial intelligence technology in nursing management: a bibliometric study — Qing Hou, Shanshan Jiang, et al. · Frontiers in Medicine (2025) | TGRS Research Map | TGRS