AI Nurses network: The Importance of Clinical Research Networks in Nursing

Siobhan O’Connor; Crina Grosan; Emma Stanmore; Rebecca J Oakey; Mengying  Zhang; Xiaoyang  Li; David Woodcock; Jo Armes; Joanne Cull

doi:10.1111/jnu.70042

AI Nurses network: The Importance of Clinical Research Networks in Nursing

Siobhan O’Connor (Lead), Crina Grosan, Emma Stanmore, Rebecca J Oakey, Mengying Zhang, Xiaoyang Li, David Woodcock, Jo Armes, Joanne Cull

Nursing & Midwifery

Research output: Contribution to journal › Article › peer-review

Abstract

With the emergence of artificial intelligence (AI) and its rapidly evolving pace, AI models and AI tools are starting to be developed and introduced in healthcare. A recent systematic review found many applications of AI in nursing across a broad range of areas of clinical practice (O'Connor et al. 2023). However, it highlighted that nurses lack of knowledge and skill in AI could hamper its development and integration in healthcare, as well as limit opportunities for nurses in their professional careers and their ability to support patients and families with AI-based health technologies. A recent special issue of the Journal of Nursing Scholarship also focused on the role of AI in nursing and included a range of primary research studies, some of which emphasised the same barriers in relation to introducing AI in nursing (Sigma Nursing 2025).

With this in mind, a group of nursing scholars with support from colleagues in AI and data science established the world's first clinical research network on AI in nursing. After securing funding for the new CRN, we launched the AI Nurses Network (www.ai-nurses.com) in December 2024 at the annual A Centre of Research for Nurses and Midwives (ACORN) Research Showcase at Guy's and St Thomas' NHS Foundation Trust in London. Drawing on lessons learned from previous and existing CRNs in nursing, we designed the network to support and advance the role of nurses in the field of AI by providing the profession with a suite of resources, events, and opportunities they can access and use for free. At present, the network has more than 900 members worldwide with nurses from the United Kingdom to Canada and Australia signed up. We also established an independent advisory board to offer ongoing advice and support to the new network.

Original language	English
Journal	Journal of Nursing Scholarship
DOIs	https://doi.org/10.1111/jnu.70042
Publication status	Published - 1 Aug 2025

Research Beacons, Institutes and Platforms

Digital Futures
Institute for Data Science and AI

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1111/jnu.70042Licence: Other

DHSCRG: Digital Health and Social Care Research Group
Dowding, D. (Researcher), Hawley-Hague, H. (Researcher), O'Connor, S. (Researcher), Stanmore, E. (Researcher), Kirk, S. (Researcher), Hall, A. (Researcher), Burden, S. (Researcher), Deane, J. (Researcher), Eost-Telling, C. (Researcher), Gasteiger, N. (Researcher), Jeyasingham, D. (Researcher), Christie, J. (Researcher), Rogers, K. (Researcher), Dumville, J. (Researcher), Atkinson, R. (Researcher), Vercell, A. (Researcher) & Ford, C. (Researcher)
Project: Research
HARG: Healthy Ageing Research Group
Todd, C. (Researcher), Stanmore, E. (Researcher), Hall, A. (Researcher), Littlewood, A. (Researcher), Davies, A. (Researcher), Sowerbutts, A. M. (Researcher), Maharani, A. (Researcher), Dowding, D. (Researcher), Jones, D. (Researcher), Boulton, L. (Researcher), Cruickshank, F. (Researcher), Hawley-Hague, H. (Researcher), Brooks, J. (Researcher), Griffiths, J. (Researcher), Spencer, K. (Researcher), Fisher, K. (Researcher), Mcgarrigle, L. (Researcher), Cook, M. (Researcher), Pendleton, N. (Researcher), Stanford, P. (Researcher), Lasrado, R. (Researcher), Ahmed, S. (Researcher), Clinch, S. (Researcher), Burden, S. (Researcher), Gluchowski, A. (Researcher), Ford, C. (PGR student), Al Zadjali, F. (PGR student), Sremanakova, J. (PGR student), Fisher, K. (PGR student), Zougar, M. (PGR student), Almohaisen, N. (PGR student), Yang, Y. (PGR student), Mckenzie, Y. (PGR student), O'Connor, S. (Researcher), Aminu, A. (Researcher), Bosco, A. (Researcher), Parchment, A. (Researcher), Money, A. (Researcher), Mackenzie, A. (Researcher), Karki, B. (PGR student), Poku, B. (Researcher), Eost-Telling, C. (Researcher), French, C. (PGR student), Harris, D. (PGR student), Damisa, E. (Researcher), Vardy, E. (Researcher), Hakeem, F. (Researcher), Donald, G. (Researcher), Bilsborough, H. (PGR student), Gangannagaripalli, J. (Researcher), Astbury, J. (Researcher), Garsden, J. (Researcher), Ventre, J. (Researcher), Aguilera Munoz, J. (Researcher), Allsopp, K. (Researcher), Mcgarrigle, L. (Researcher), Mott, L. (PGR student), Huang, L. (Researcher), Tomkow, L. (Researcher), Ahmed, N. (Researcher), Fox, S. (Researcher), Mcdermott, J. (Researcher), Hoodless, S. (Researcher), Dlima, S. (PGR student), Shi, Y. (PGR student) & Tang, Y. (PGR student)
Project: Research

Cite this

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title = "AI Nurses network: The Importance of Clinical Research Networks in Nursing",

abstract = "With the emergence of artificial intelligence (AI) and its rapidly evolving pace, AI models and AI tools are starting to be developed and introduced in healthcare. A recent systematic review found many applications of AI in nursing across a broad range of areas of clinical practice (O'Connor et al. 2023). However, it highlighted that nurses lack of knowledge and skill in AI could hamper its development and integration in healthcare, as well as limit opportunities for nurses in their professional careers and their ability to support patients and families with AI-based health technologies. A recent special issue of the Journal of Nursing Scholarship also focused on the role of AI in nursing and included a range of primary research studies, some of which emphasised the same barriers in relation to introducing AI in nursing (Sigma Nursing 2025). With this in mind, a group of nursing scholars with support from colleagues in AI and data science established the world's first clinical research network on AI in nursing. After securing funding for the new CRN, we launched the AI Nurses Network (www.ai-nurses.com) in December 2024 at the annual A Centre of Research for Nurses and Midwives (ACORN) Research Showcase at Guy's and St Thomas' NHS Foundation Trust in London. Drawing on lessons learned from previous and existing CRNs in nursing, we designed the network to support and advance the role of nurses in the field of AI by providing the profession with a suite of resources, events, and opportunities they can access and use for free. At present, the network has more than 900 members worldwide with nurses from the United Kingdom to Canada and Australia signed up. We also established an independent advisory board to offer ongoing advice and support to the new network.",

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AB - With the emergence of artificial intelligence (AI) and its rapidly evolving pace, AI models and AI tools are starting to be developed and introduced in healthcare. A recent systematic review found many applications of AI in nursing across a broad range of areas of clinical practice (O'Connor et al. 2023). However, it highlighted that nurses lack of knowledge and skill in AI could hamper its development and integration in healthcare, as well as limit opportunities for nurses in their professional careers and their ability to support patients and families with AI-based health technologies. A recent special issue of the Journal of Nursing Scholarship also focused on the role of AI in nursing and included a range of primary research studies, some of which emphasised the same barriers in relation to introducing AI in nursing (Sigma Nursing 2025). With this in mind, a group of nursing scholars with support from colleagues in AI and data science established the world's first clinical research network on AI in nursing. After securing funding for the new CRN, we launched the AI Nurses Network (www.ai-nurses.com) in December 2024 at the annual A Centre of Research for Nurses and Midwives (ACORN) Research Showcase at Guy's and St Thomas' NHS Foundation Trust in London. Drawing on lessons learned from previous and existing CRNs in nursing, we designed the network to support and advance the role of nurses in the field of AI by providing the profession with a suite of resources, events, and opportunities they can access and use for free. At present, the network has more than 900 members worldwide with nurses from the United Kingdom to Canada and Australia signed up. We also established an independent advisory board to offer ongoing advice and support to the new network.

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AI Nurses network: The Importance of Clinical Research Networks in Nursing

Abstract

Research Beacons, Institutes and Platforms

UN SDGs

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Projects

DHSCRG: Digital Health and Social Care Research Group

HARG: Healthy Ageing Research Group

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