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Artificial intelligence in nursing: Priorities and opportunities from an international invitational think‐tank of the Nursing and Artificial Intelligence Leadership Collaborative
332
Zitationen
19
Autoren
2021
Jahr
Abstract
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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Autoren
Institutionen
- American Medical Informatics Association(US)
- Toronto Metropolitan University(CA)
- Okanagan University College(CA)
- University of British Columbia(CA)
- University of Turku(FI)
- University of Minnesota(US)
- University of Toronto(CA)
- Columbia University(US)
- Precision Research (United States)(US)
- University of Exeter(GB)
- University of Huddersfield(GB)
- University Hospital of Lausanne(CH)
- University of Cambridge(GB)
- Leverhulme Trust(GB)
- Mila - Quebec Artificial Intelligence Institute(CA)
- McGill University(CA)
- Jewish General Hospital(CA)
- Turku University Hospital(FI)
- Public Health Agency of Canada(CA)
- Health Canada(CA)
- Women's College Hospital(CA)
- European Society for Medical Oncology(CH)
- AC Immune (Switzerland)(CH)
- Technische Universität Berlin(DE)
- Istanbul Technical University(TR)
- Artificial Intelligence in Medicine (Canada)(CA)
- Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute(DE)
- Fraunhofer Institute for Production Systems and Design Technology(DE)