AI-Assisted Decision-Making in Long-Term Care: Qualitative Study on Prerequisites for Responsible Innovation.

Journal: JMIR nursing
PMID: 39052315

Abstract

BACKGROUND: Although the use of artificial intelligence (AI)-based technologies, such as AI-based decision support systems (AI-DSSs), can help sustain and improve the quality and efficiency of care, their deployment creates ethical and social challenges. In recent years, a growing prevalence of high-level guidelines and frameworks for responsible AI innovation has been observed. However, few studies have specified the responsible embedding of AI-based technologies, such as AI-DSSs, in specific contexts, such as the nursing process in long-term care (LTC) for older adults.

Authors

  • Dirk R M Lukkien
    Vilans Centre of Expertise for Long-Term Care, Utrecht, The Netherlands.
  • Nathalie E Stolwijk
    Vilans Centre of Expertise of Long Term Care, Utrecht, Netherlands.
  • Sima Ipakchian Askari
    Vilans Centre of Expertise of Long Term Care, Utrecht, Netherlands.
  • Bob M Hofstede
    Vilans Centre of Expertise of Long Term Care, Utrecht, Netherlands.
  • Henk Herman Nap
    Vilans Centre of Expertise for Long-Term Care, Utrecht, The Netherlands.
  • Wouter P C Boon
    Innovation Studies, Copernicus Institute of Sustainable Development, University Utrecht, Utrecht, The Netherlands.
  • Alexander Peine
    Copernicus Institute of Sustainable Development, Utrecht University, The Netherlands.
  • Ellen H M Moors
    Innovation Studies, Copernicus Institute of Sustainable Development, University Utrecht, Utrecht, The Netherlands.
  • Mirella M N Minkman
    Vilans Centre of Expertise for Long-Term Care, Utrecht, The Netherlands.

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