Adoption of Artificial Intelligence-Enabled Robots in Long-Term Care Homes by Health Care Providers: Scoping Review.

Journal: JMIR aging
PMID: 39190455

Abstract

BACKGROUND: Long-term care (LTC) homes face the challenges of increasing care needs of residents and a shortage of health care providers. Literature suggests that artificial intelligence (AI)-enabled robots may solve such challenges and support person-centered care. There is a dearth of literature exploring the perspectives of health care providers, which are crucial to implementing AI-enabled robots.

Authors

  • Karen Lok Yi Wong
    IDEA Lab, University of British Columbia, Vancouver, British Columbia, Canada klywong1@mail.ubc.ca.
  • Lillian Hung
    Gerontology Research Centre, Simon Fraser University, Room 2818, 2800-515 West Hastings Street, Vancouver, BC, V6B 5K3, Canada. Lillian.Hung@vch.ca.
  • Joey Wong
    UBC IDEA Lab, School of Nursing, University of British Columbia, Vancouver, BC, Canada. joey.wong@ubc.ca.
  • Juyoung Park
    Phyllis & Harvey Sandler School of Social Work, Florida Atlantic University, Boca Raton, Florida, USA.
  • Hadil Alfares
    IDEA Lab, University of British Columbia, Vancouver, BC, Canada.
  • Yong Zhao
    a School of Mathematics and Information Science , Henan Polytechnic University , Jiaozuo 454000 , People's Republic of China.
  • Abdolhossein Mousavinejad
    IDEA Lab, University of British Columbia, Vancouver, BC, Canada.
  • Albin Soni
    IDEA Lab, University of British Columbia, Vancouver, BC, Canada.
  • Hui Zhao
    School of Mathematics and Computer Science, Shaanxi University of Technology, Hanzhong, 723000, Shaanxi, China.

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