ArticleDigital health
Every nurse an AI nurse: A framework for integrating artificial intelligence across nursing practice, education, research and policy.
Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Stakeholder experience with artificial intelligence in healthcare: a bibliometric study of satisfaction, trust, acceptance, and patient engagement.Frontiers in digital health · 2026Pooled it
- The Associations of AI Literacy, AI Self-Efficacy and AI Attitudes Among Nursing Students: A Cross-Sectional Path Analysis.Nursing reports (Pavia, Italy) · 2026Article
- Explainable Artificial Intelligence in Critical Care Nursing: A Discussion Paper.Nursing in critical care · 2026Article
- Knowledge, Attitude, Benefits, Risks, Barriers, Professional Impact, and Preparedness of Nursing Students Toward the Utilization of Artificial Intelligence in Healthcare.Nursing reports (Pavia, Italy) · 2026Article
- Insights Into Factors Affecting Nurses' Knowledge of and Attitudes Toward AI and Implications for Successful AI Integration in Critical Care: Cross-Sectional Study.JMIR nursing · 2026Article
- Clinical nurses as digital guardians: unlocking the key determinants of digital resilience in the AI era.Frontiers in public health · 2026Article
- Artificial Intelligence Perceptions and Readiness Among Clinical Nurses: A Latent Profile Analysis With Implications for Nursing Management.Journal of nursing management · 2026Article
- Navigating Professional Accountability in AI-Assisted Nursing Practice: Ethical and Legal Imperatives for the Digital Age.SAGE open nursingArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
As artificial intelligence (AI) becomes increasingly embedded in healthcare, the nursing profession must embrace the imperative of 'every nurse an AI nurse'. This commentary argues that nurses must not only adapt to AI technologies but actively shape their development, implementation, and governance to ensure alignment with nursing's core values of compassionate, patient-centred care. Drawing on a five-part APDDS framework: Aware, Prepare, Dare, Declare, Share; the article outlines a strategic approach for integrating AI across nursing practice, education, research, and policy. It emphasises the need for AI literacy, leadership, ethical engagement, and knowledge dissemination to empower nurses as innovators and advocates in the digital transformation of healthcare. By embracing this proactive stance, the nursing profession can ensure that AI enhances rather than diminishes the human elements of care.
Indexed as
Identifiers
What Socratic 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 Socratic graph.