ArticleInternational journal of nursing sciences2025
Navigating the integration of artificial intelligence in Nursing: Opportunities, challenges, and strategic actions.
Article in International journal of nursing sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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
17 citing papers in PubMed, 1 synthesis or guideline pooled it.
- AI literacy and competency in nursing education: preparing students and faculty members for an AI-enabled future-a systematic review and meta-analysis.Frontiers in medicine · 2025Pooled it
- Healthcare professionals' perceptions and needs for a Home-based Artificial Intelligence Pain Management System for cancer pain: A qualitative study.International journal of nursing sciences · 2026Article
- Awareness, knowledge and attitudes towards artificial intelligence among nursing students: a systematic review protocol.BMJ open · 2026Article
- Core competencies of clinical nursing educators in the AI era: a qualitative study.BMC nursing · 2026Article
- The cognitive and ethical crossroads: a qualitative study of academic integrity, emotional landscapes, and generative AI integration in nursing education.BMC nursing · 2026Article
- Nursing Students' Experiences With Artificial Intelligence: A Qualitative Study on Education, Clinical Practice, and Future Expectations.Journal of evaluation in clinical practice · 2026Article
- Application of Artificial Intelligence in Nursing: A Bibliometric Analysis of Global Research Trends.Healthcare (Basel, Switzerland) · 2026Review
- The impact of innovativeness on Chinese nurses' attitudes toward artificial intelligence: a cross-sectional study based on the technology acceptance model.BMC nursing · 2026Article
- Artificial intelligence, robotics, and person-centered care in nursing and midwifery education: qualitative study to develop an augmented caring pedagogy model.BMC medical education · 2026Article
- Sociodemographic factors, anxiety and attitudes toward generative artificial intelligence among nurses.Frontiers in psychiatry · 2026Article
- Mapping research trends and competency domains in nursing-related digital and artificial intelligence technologies: A bibliometric analysis.International journal of nursing sciences · 2026Review
- Artificial Intelligence Attitudes and Time Management Among Undergraduate Nursing Students: A Cross-Sectional Study.Journal of nursing management · 2026Article
- Development of a large language model-based knowledge graph for chemotherapy-induced nausea and vomiting in breast cancer and its implications for nursing.International journal of nursing sciences · 2025Article
- Large language model-driven agents in nursing practice: A scoping review.International journal of nursing sciences · 2025Review
- Time series analysis of outpatient blood collection visits: Fluctuation patterns and nursing staff allocation optimization.International journal of nursing sciences · 2025Article
- The strengths, weaknesses, opportunities, and threats of generative artificial intelligence: a qualitative study of undergraduate nursing students.Frontiers in public health · 2025Article
- Exploring perceptions of data risks in AI-enabled nursing research: A qualitative study.Digital healthArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The advent of artificial intelligence (AI) in recent years has brought about transformative changes across various sectors, including healthcare. In nursing practice, education, and research, AI has the potential to revolutionize traditional methodologies, enhance learning experiences, and improve patient outcomes. Integrating AI tools and techniques can provide clinicians with smarter clinical solutions and nursing students with more robust and interactive learning environments, while also advancing research capabilities in the field. Despite the promising prospects, the incorporation of AI into nursing practice, education, and research presents several challenges. Firstly, there is a concern about the potential displacement of human roles in nursing due to automation, which may affect the human-centric nature of nursing care. Secondly, there are issues related to the lag in AI competency among nurses. Many current nursing curricula do not include comprehensive AI training, leading to a lack of preparedness in utilizing these technologies effectively. Lastly, the ethical implications of AI in healthcare, such as data privacy, patient consent, and the potential for biased algorithms, need to be meticulously addressed. To harness the full potential of AI in nursing practice, education, and research, several strategic actions including reinvesting in humanistic practice, revising core competencies and curriculum, and developing new ethical guidelines.
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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.