ArticleSAGE open nursing
Strengthening Ethical Practices of Patient Data Confidentiality and Sharing Among Nurses in the Artificial Intelligence-Driven Healthcare Era.
Article in SAGE open nursing. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed.
- When Care Becomes Digital: Shared Experiences in Psychiatric Nursing-A Phenomenological Study.Journal of psychiatric and mental health nursing · 2026Article
- Artificial intelligence literacy and associations with thriving at work among nurses in Anhui Province, China: a latent profile analysis.BMC nursing · 2026Article
- Opportunities, challenges, and ethical implications of online pediatric nutrition consultation: a nursing perspective.Frontiers in pediatrics · 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
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
As artificial intelligence (AI) becomes increasingly integrated into healthcare systems, ethical challenges surrounding patient data confidentiality and informed data sharing have intensified-particularly for nurses, who serve as key custodians of health information. This commentary examines the current state of nurses' knowledge and practices related to data confidentiality in the AI era, highlighting significant gaps in training, awareness, and institutional support. The commentary calls for urgent reforms in nursing education, policy, and global governance frameworks to ensure that technological innovation does not compromise patient trust or ethical standards.
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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.