Artificial Intelligence -based technologies in nursing: A scoping literature review of the evidence.

Journal: International journal of nursing studies
Published Date: Dec 7, 2021

Abstract

BACKGROUND: Research on technologies based on artificial intelligence in healthcare has increased during the last decade, with applications showing great potential in assisting and improving care. However, introducing these technologies into nursing can raise concerns related to data bias in the context of training algorithms and potential implications for certain populations. Little evidence exists in the extant literature regarding the efficacious application of many artificial intelligence -based health technologies used in healthcare.

Authors

  • Hanna von Gerich
    Department of Nursing Science University of Turku, Turku, Finland. Electronic address: hanna.m.vongerich@utu.fi.
  • Hans Moen
    Turku NLP Group, Department of Future Technologies, University of Turku, Finland.
  • Lorraine J Block
    School of Nursing, University of British Columbia, Vancouver, British Columbia, Canada.
  • Charlene H Chu
    Lawrence S. Bloomberg Faculty of Nursing, University of Toronto, Toronto, ON, Canada.
  • Haley DeForest
    University of Hawaii at Maui, Hawaii, United States.
  • Mollie Hobensack
    Columbia University School of Nursing, United States. Electronic address: mxh2000@cumc.columbia.edu.
  • Martin Michalowski
    School of Nursing, University of Minnesota-Twin Cities, Minneapolis, MN 55455, USA.
  • James Mitchell
    School of Computing and Mathematics, Keele University, United Kingdom. Electronic address: j.a.mitchell@keele.ac.uk.
  • Raji Nibber
    Fraser Health Authority, BC, Canada. Electronic address: raji.nibber@alumni.ubc.ca.
  • Mary Anne Olalia
    Daphne Cockwell School of Nursing, Ryerson University, Toronto, Canada. Electronic address: molalia@ryerson.ca.
  • Lisiane Pruinelli
    Institute for Health Informatics, University of Minnesota, Minneapolis, MN.
  • Charlene E Ronquillo
    School of Nursing, University of British Columbia Okanagan, Kelowna, BC, Canada. Electronic address: charlene.ronquillo@ubc.ca.
  • Maxim Topaz
    Division of General Internal Medicine and Primary Care, Brigham & Women's Hospital, Harvard Medical School, Boston, MA, USA.
  • Laura-Maria Peltonen
    Nursing Science, University of Turku, and Turku University Hospital, Turku, Finland.

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