B1 Non-refereed article in a scientific journal
Artificial intelligence in nursing: Priorities and opportunities from an international invitational think-tank of the Nursing and Artificial Intelligence Leadership Collaborative
Authors: Ronquillo Charlene Esteban, Peltonen Laura-Maria, Pruinelli Lisiani, Chu Charlene H, Bakken Suzanne, Beduschi Ana, Cato Kenrick, Hardiker Nicholas, Junger Alain, Michalowski Martin, Nyrup Rune, Rahimi Samira, Reed Donald Nigel, Salakoski Tapio, Salantera Sanna, Walton Nancy, Weber Patrick, Wiegand Thomas, Topaz Maxim
Publisher: WILEY
Publication year: 2021
Journal: Journal of Advanced Nursing
Journal name in source: JOURNAL OF ADVANCED NURSING
Journal acronym: J ADV NURS
Volume: 77
Issue: 9
First page : 3707
Last page: 3717
Number of pages: 11
ISSN: 0309-2402
eISSN: 1365-2648
DOI: https://doi.org/10.1111/jan.14855
Web address : https://doi.org/10.1111/jan.14855
Self-archived copy’s web address: https://research.utu.fi/converis/portal/detail/Publication/59532312
Aim To develop a consensus paper on the central points of an international invitational think-tank on nursing and artificial intelligence (AI).Methods We established the Nursing and Artificial Intelligence Leadership (NAIL) Collaborative, comprising interdisciplinary experts in AI development, biomedical ethics, AI in primary care, AI legal aspects, philosophy of AI in health, nursing practice, implementation science, leaders in health informatics practice and international health informatics groups, a representative of patients and the public, and the Chair of the ITU/WHO Focus Group on Artificial Intelligence for Health. The NAIL Collaborative convened at a 3-day invitational think tank in autumn 2019. Activities included a pre-event survey, expert presentations and working sessions to identify priority areas for action, opportunities and recommendations to address these. In this paper, we summarize the key discussion points and notes from the aforementioned activities.Implications for nursing Nursing's limited current engagement with discourses on AI and health posts a risk that the profession is not part of the conversations that have potentially significant impacts on nursing practice.Conclusion There are numerous gaps and a timely need for the nursing profession to be among the leaders and drivers of conversations around AI in health systems.Impact We outline crucial gaps where focused effort is required for nursing to take a leadership role in shaping AI use in health systems. Three priorities were identified that need to be addressed in the near future: (a) Nurses must understand the relationship between the data they collect and AI technologies they use; (b) Nurses need to be meaningfully involved in all stages of AI: from development to implementation; and (c) There is a substantial untapped and an unexplored potential for nursing to contribute to the development of AI technologies for global health and humanitarian efforts.
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