ArticleRisk management and healthcare policy2026
Healthcare Systems at the Intersection of Just Culture and Artificial Intelligence: Emerging Challenges for Nursing Management.
Article in Risk management and healthcare policy, 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.
- Feasibility-First Risk Management for Clinical AI: A Deterministic Systems Intelligence Framework for Release, Monitoring, Rollback and Withholding.Risk management and healthcare policy · 2026Article
- Artificial Intelligence and Enhanced Recovery After Surgery as Patient Safety Strategies for Perioperative Care in Resource-Limited Settings.Risk management and healthcare policy · 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
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The integration of Artificial Intelligence (AI) into healthcare presents both opportunities and challenges for maintaining a Just Culture as a framework that promotes patient safety through non-punitive learning from errors while ensuring accountability for reckless or wilful misconduct. This commentary aims to explore how AI can be aligned with the principles of a Just Culture to strengthen fairness, transparency, and continuous learning in nursing practice and management. The interconnection between AI and a Just Culture has been discussed through the lenses of transformational change; ethical, educational, and professional challenges; ethical and regulatory guidance; implications for research and nursing management. It has been concluded that when implemented thoughtfully, AI can reinforce a Just Culture by supporting transparent, evidence-based decision-making and promoting organizational learning. Conversely, inadequate governance or poor communication about AI's capabilities and limitations may erode trust and diminish staff engagement. Nurse managers are pivotal in mediating this balance ensuring that AI technologies are used responsibly, staff are educated on ethical and professional implications, and that systems are designed to enhance, rather than undermine human judgment and accountability. A well-governed integration of AI within a Just Culture can thus promote fairness, improve safety outcomes, and sustain a learning-oriented healthcare environment. This commentary can enhance our understanding and clarify how nurse managers can actively shape the integration of AI through the lens of a Just Culture.
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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.