SynthesisNursing ethics2026
Ethical concerns of AI in healthcare: A systematic review of qualitative studies.
Synthesis in Nursing ethics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed.
- From Francis to Leo XIV: A Scoping Review of Papal Teachings on AI from Pope Francis to Pope Leo XIV and Their Implications for Health Ethics and Governance.Journal of religion and health · 2026Article
- Operational Ethics in the Cardiovascular Intensive Care Unit: A Practical Framework for Ethical Decision-Making.Journal of clinical medicine · 2026Review
- The Challenges of AI Applications in Health Care: Qualitative Study.Journal of medical Internet research · 2026Article
- ARIA-EAACI 2025: Person-Centred, Digitally Enabled and Artificial Intelligence-Assisted Change Management in Airway Diseases: An OECD Best Practice for Integrated Care for Chronic Diseases.Clinical and translational allergy · 2026Article
- Explainable Artificial Intelligence in Critical Care Nursing: A Discussion Paper.Nursing in critical care · 2026Article
- Artificial Intelligence Adoption in Healthcare Practice and Research: A Cross-Sectional Study of Knowledge, Attitudes, and Practices in Balochistan, Pakistan.Health science reports · 2026Article
- Transforming Relational Care Values in AI-Mediated Healthcare: A Text Mining Analysis of Patient Narrative.Healthcare (Basel, Switzerland) · 2026Article
- Review
- AI-Enhanced Qualitative Analysis in Healthcare: Unlocking Insight from Interviews of Leadership at Top-Performing Academic Medical Centers.Healthcare (Basel, Switzerland) · 2026Article
- The Emerging Role of Multimodal Artificial Intelligence in Urological Surgery.Current oncology (Toronto, Ont.) · 2025Review
- Risks and Benefits of Artificial Intelligence as an Adjunct in Colorectal Multidisciplinary Decision Making.ANZ journal of surgeryArticle
- Artificial Intelligence in Nursing Governance and Regulation: An Umbrella Review of Ethical and Policy Dimensions.SAGE open nursingReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
With the rapid penetration of artificial intelligence (AI) in healthcare, its associated ethical issues have become increasingly prominent. However, existing research often lacks systematic approaches and fails to explore cognitive differences thoroughly among healthcare professionals across regions, professions, and departments. To address this gap, this study systematically retrieved 19 qualitative studies from Embase, PubMed, and Web of Science databases. Quality was assessed using the JBI-QARI tool, and data were analyzed through thematic analysis, encompassing healthcare professionals from diverse backgrounds. Findings reveal that while AI enhances diagnostic accuracy and optimizes resource allocation, it also triggers ethical dilemmas such as algorithmic bias, data privacy breaches, and ambiguous accountability. Furthermore, cultural, resource, and policy disparities across regions significantly influence healthcare professionals' perceptions, while differing professional roles and departmental responsibilities lead to distinct ethical priorities. Thus, AI applications in healthcare face multidimensional ethical challenges that disrupt practitioners' workflows while profoundly impacting patient rights protection and healthcare system operations. Future efforts must develop systematic solutions across technological R&D, responsibility allocation, data security, and personnel training to balance innovation with ethics and advance sustainable AI-driven healthcare.
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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.