ReviewInternational journal of nursing sciences2026
Mapping research trends and competency domains in nursing-related digital and artificial intelligence technologies: A bibliometric analysis.
Review in International journal of nursing sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- The effect of perceived organizational support on innovative behavior among nurses: a parallel mediation model of digital competence and work thriving.Frontiers in psychology · 2026Article
- AI Substitution Perception and Nurses' Active Learning Behavior: The Mediating Role of Job Insecurity and Moderating Role of Occupational Self-Efficacy.Journal of nursing management · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objectives: This study aimed to explore the research trends, thematic structures, and core competency domains in the field of nursing-related digital and artificial intelligence (AI) technologies. Methods: A bibliometric analysis was conducted in accordance with the PRISMA 2020 statement. Peer-reviewed articles published in English from 2015 to 2025 were retrieved from Scopus, Web of Science, and PubMed. Thematic clustering was conducted using the Louvain algorithm and cosine similarity. A subset of 66 frequently cited articles was then qualitatively synthesized to capture core competencies across clusters. Results: 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. Conclusions: 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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.