{"title":"Nursing Professional Organisations as Human Rights Intermediaries: Towards an Integrated Framework of Stakeholdership for Healthcare AI Governance.","authors":"Jerome Visperas Cleofas","doi":"10.1111/jocn.70256","DOIUrl":null,"url":null,"abstract":"<p><strong>Aim: </strong>To propose a normative framework that guides nursing professional organisations to act as human rights intermediaries in the governance of artificial intelligence in healthcare.</p><p><strong>Design: </strong>Discursive paper.</p><p><strong>Results: </strong>The paper presents a triaxial framework that conceptualises the role of nursing professional organisations in artificial intelligence governance. The framework consists of a domain axis, which identifies key areas of engagement; a modality axis, which aligns actions with the specific functions of these organisations; and a human rights axis, which defines their role towards rights claimants and duty bearers.</p><p><strong>Conclusion: </strong>The proposed framework provides a practical tool for nursing professional organisations to strategically plan and implement initiatives to influence the advancement and regulation of artificial intelligence. Its application can help ensure that healthcare innovation is equitable and rights-based.</p><p><strong>Implications for the profession: </strong>This paper provides a blueprint for nursing leaders and policymakers to engage proactively with the ethical dimensions of artificial intelligence. It emphasises the salient roles of nursing professional organisations in advocating for the human right to health in a technologically driven healthcare landscape.</p><p><strong>Impact: </strong>This paper addresses the gap in how the nursing profession can systematically engage with artificial intelligence governance. The main finding is a novel framework that provides a structured way for nursing professional organisations to act as human rights intermediaries. This research will have a significant impact on nursing leadership, patient advocacy groups, and policymakers involved in healthcare technology and ethics.</p><p><strong>Patient or public contribution: </strong>Initial parts of this paper were presented to allied health practitioners via a webinar, providing early feedback and dialogue that informed its development.</p>","PeriodicalId":50236,"journal":{"name":"Journal of Clinical Nursing","volume":" ","pages":"4460-4472"},"PeriodicalIF":3.6000,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13569261/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Clinical Nursing","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1111/jocn.70256","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/2/19 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"NURSING","Score":null,"Total":0}
引用次数: 0
Abstract
Aim: To propose a normative framework that guides nursing professional organisations to act as human rights intermediaries in the governance of artificial intelligence in healthcare.
Design: Discursive paper.
Results: The paper presents a triaxial framework that conceptualises the role of nursing professional organisations in artificial intelligence governance. The framework consists of a domain axis, which identifies key areas of engagement; a modality axis, which aligns actions with the specific functions of these organisations; and a human rights axis, which defines their role towards rights claimants and duty bearers.
Conclusion: The proposed framework provides a practical tool for nursing professional organisations to strategically plan and implement initiatives to influence the advancement and regulation of artificial intelligence. Its application can help ensure that healthcare innovation is equitable and rights-based.
Implications for the profession: This paper provides a blueprint for nursing leaders and policymakers to engage proactively with the ethical dimensions of artificial intelligence. It emphasises the salient roles of nursing professional organisations in advocating for the human right to health in a technologically driven healthcare landscape.
Impact: This paper addresses the gap in how the nursing profession can systematically engage with artificial intelligence governance. The main finding is a novel framework that provides a structured way for nursing professional organisations to act as human rights intermediaries. This research will have a significant impact on nursing leadership, patient advocacy groups, and policymakers involved in healthcare technology and ethics.
Patient or public contribution: Initial parts of this paper were presented to allied health practitioners via a webinar, providing early feedback and dialogue that informed its development.
期刊介绍：
The Journal of Clinical Nursing (JCN) is an international, peer reviewed, scientific journal that seeks to promote the development and exchange of knowledge that is directly relevant to all spheres of nursing practice. The primary aim is to promote a high standard of clinically related scholarship which advances and supports the practice and discipline of nursing. The Journal also aims to promote the international exchange of ideas and experience that draws from the different cultures in which practice takes place. Further, JCN seeks to enrich insight into clinical need and the implications for nursing intervention and models of service delivery. Emphasis is placed on promoting critical debate on the art and science of nursing practice.
JCN is essential reading for anyone involved in nursing practice, whether clinicians, researchers, educators, managers, policy makers, or students. The development of clinical practice and the changing patterns of inter-professional working are also central to JCN''s scope of interest. Contributions are welcomed from other health professionals on issues that have a direct impact on nursing practice.
We publish high quality papers from across the methodological spectrum that make an important and novel contribution to the field of clinical nursing (regardless of where care is provided), and which demonstrate clinical application and international relevance.
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