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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.

Charlene Esteban RonquilloLaura-Maria PeltonenLisiane PruinelliCharlene H ChuSuzanne BakkenAna BeduschiKenrick D CatoNicholas R HardikerAlain JungerMartin MichalowskiRune NyrupSamira Abbasgholizadeh RahimiDonald Nigel ReedTapio SalakoskiSanna SalanteraNancy WaltonPatrick WeberThomas WiegandMaxim Topaz
Published in: Journal of advanced nursing (2021)
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.
Keyphrases
  • artificial intelligence
  • quality improvement
  • healthcare
  • mental health
  • big data
  • machine learning
  • deep learning
  • global health
  • primary care
  • public health
  • risk assessment
  • current status
  • human health