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Mapping research trends and competency domains in nursing-related digital and artificial intelligence technologies: A bibliometric analysis
Kanjanee Phanphairoj, Wasinee Wisesrith, Sutthisan Chumwichan. International Journal of Nursing Sciences, 2025-12-20
Topic: Risk, prevention and care in population studies
A total of 83,807 articles were included for bibliometric analysis. Of these, 66 articles were chosen for thematic analysis. Five major thematic clusters were identified: remote care in primary settings, oncology and palliative care, nurse education and training, safety and quality in nursing practice, and geriatric and dementia care. Additionally, four competency domains were identified: telehealth and remote communication, health systems and informatics, digital tools in practice, and AI-powered decision support. A clear shift in research focus was observed, with the emphasis transitioning from foundational digital skills before the COVID-19 pandemic to more advanced competencies during the post-pandemic digital transformation, encompassing ethical reasoning, immersive technology use, and AI integration. Integrating digital and AI technologies is reshaping nursing practice across various thematic areas and competency domains, highlighting a transition from foundational digital tasks to AI-supported decision-making and ethically informed technology use. This study provides a structured overview of evolving competencies in digital nursing and synthesizes evidence to support future research, curriculum design, and policy planning.
Cite this study APA, Vancouver, BibTeX · download .bib or .ris
APA 7th
Phanphairoj, K., Wisesrith, W., & Chumwichan, S. (2025). Mapping research trends and competency domains in nursing-related digital and artificial intelligence technologies: A bibliometric analysis. International Journal of Nursing Sciences. https://doi.org/10.1016/j.ijnss.2025.12.011
Vancouver
Phanphairoj K, Wisesrith W, Chumwichan S. Mapping research trends and competency domains in nursing-related digital and artificial intelligence technologies: A bibliometric analysis. International Journal of Nursing Sciences. 2025. doi:10.1016/j.ijnss.2025.12.011. PMID: 41684611.
BibTeX
@article{phanphairoj2025-41684611,
author = {Phanphairoj, Kanjanee and Wisesrith, Wasinee and Chumwichan, Sutthisan},
title = {{Mapping research trends and competency domains in nursing-related digital and artificial intelligence technologies: A bibliometric analysis}},
journal = {International Journal of Nursing Sciences},
year = {2025},
doi = {10.1016/j.ijnss.2025.12.011},
pmid = {41684611},
url = {https://doi.org/10.1016/j.ijnss.2025.12.011}
}
Built from the record alzhub holds for this paper, not looked up. Volume, issue and page numbers are not held in the record. Check the citation against the original before you use it.
Key findings
- A total of 83,807 articles were included for bibliometric analysis.
- Of these, 66 articles were chosen for thematic analysis.
- Five major thematic clusters were identified: remote care in primary settings, oncology and palliative care, nurse education and training, safety and quality in nursing practice, and geriatric and dementia care.
- Additionally, four competency domains were identified: telehealth and remote communication, health systems and informatics, digital tools in practice, and AI-powered decision support.
- A clear shift in research focus was observed, with the emphasis transitioning from foundational digital skills before the COVID-19 pandemic to more advanced competencies during the post-pandemic digital transformation, encompassing ethical reasoning, immersive technology use, and AI integration.
Why it matters
This bibliometric analysis of 83,807 articles identified geriatric and dementia care as one of five major thematic clusters in nursing-related digital and artificial intelligence technologies. It maps research trends and competency domains but reports no findings on treating, curing, or preventing Alzheimer's disease.
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Study details
- Participants83,807
- Evidence strengthLow
How this study scored 38/100
Published in a peer-reviewed journal. Scored zero for study design, effect reported and randomised / blinded because the record does not state it.
| Component | Points | Why |
|---|---|---|
| Journal tier | 7 / 10 | Tier 3 — peer-reviewed journal (International Journal of Nursing Sciences) |
| Journal's citation record | 0 / 4 | International Journal of Nursing Sciences: journal h-index 61 (OpenAlex, 2026-10-29) |
| Study design | 0 / 12 | No study design recorded — scores zero, not guessed (not stated in the record — scored 0) |
| Strength of evidence | 1 / 5 | Rated “low” in our summary |
| Peer-review validation | 10 / 10 | Peer-reviewed. Published as an article in a named peer-reviewed journal. |
| How recent | 4 / 5 | 2025 — within 3 year(s) of the newest study here |
| Sample size | 4 / 4 | 83,807 participants |
| Effect reported | 0 / 3 | No effect size reported — scores zero (not stated in the record — scored 0) |
| Studied in people | 3 / 3 | Studied in people (participant count stated) |
| Randomised / blinded | 0 / 2 | No randomisation or blinding stated — scores zero (not stated in the record — scored 0) |
| Times cited | 1 / 7 | Cited 3 times (OpenAlex, 2026-10-10) |
| Citations per year | 1 / 5 | 1.0 citations a year over 3 year(s) since 2025 |
| Impact for its field and year | 1 / 6 | Cited 0.6× the average for papers of its field and year (OpenAlex FWCI) |
| Cited by studies here | 0 / 6 | No other study in this library cites it |
| Still being cited | 1 / 4 | Cited 3 times in 2024–2026 (2026 still in progress; OpenAlex) |
| Senior author's track record | 0 / 4 | Last-listed author Sutthisan Chumwichan: h-index 4 (OpenAlex, whole career) |
| Institution's track record | 0 / 3 | Chulalongkorn University: institution h-index 404 (OpenAlex) |
| Multi-centre collaboration | 1 / 3 | OpenAlex lists 2 institution(s) in 1 country |
| Indexed in PubMed | 2 / 2 | Indexed in PubMed (PMID 41684611) |
| Free to read | 2 / 2 | Free to read |
| Total | 38 / 100 | — |
What each of these 20 components measures, and what this score is not →
Read the original
- DOI: 10.1016/j.ijnss.2025.12.011
- PubMed: 41684611
- Original source →
- Free full text: International Journal of Nursing Sciences →
Full text: free to read — OpenAlex lists this copy as free to read: the link above (checked 6 Feb 1020).
Studies this one cites
Referenced by this study and also in the alzhub library, so you can read them here.
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