Essential competencies of nurses working with AI-driven lifestyle monitoring in long-term care: A modified Delphi study.

Journal: Nurse education today
PMID: 40056483

Abstract

BACKGROUND: As more and more older adults prefer to stay in their homes as they age, there's a need for technology to support this. A relevant technology is Artificial Intelligence (AI)-driven lifestyle monitoring, utilizing data from sensors placed in the home. This technology is not intended to replace nurses but to serve as a support tool. Understanding the specific competencies that nurses require to effectively use it is crucial. The aim of this study is to identify the essential competencies nurses require to work with AI-driven lifestyle monitoring in long-term care.

Authors

  • S W M Groeneveld
    Research Group Technology, Health & Care, School of Social Work, Saxion University of Applied Sciences, P.O. box 70.000, 7500 KB Enschede, Netherlands; Research Group Smart Health, School of Health, Saxion University of Applied Sciences, P.O. box 70.000, 7500 KB Enschede, Netherlands; TechMed Center, Health Technology Implementation, University of Twente, P.O. box 217, 7500 AE Enschede, Netherlands. Electronic address: s.w.m.groeneveld@saxion.nl.
  • H van Os-Medendorp
    Faculty Health, Sports, and Social Work, Inholland University of Applied Sciences, P.O. box 75068, 1070 AB Amsterdam, Netherlands; Spaarne Gasthuis Academy, P.O. box 417, 2000 AK Haarlem, Netherlands. Electronic address: harmieke.vanosmedendorp@inholland.nl.
  • J E W C van Gemert-Pijnen
    Centre for eHealth and Wellbeing Research, Section of Psychology, Health and Technology, University of Twente, Enschede, Netherlands.
  • R M Verdaasdonk
    TechMed Center, Health Technology Implementation, University of Twente, P.O. box 217, 7500 AE Enschede, Netherlands. Electronic address: r.m.verdaasdonk@utwente.nl.
  • T van Houwelingen
    Research Group Technology for Healthcare Innovations, Research Centre for Healthy and Sustainable Living, University of Applied Sciences Utrecht, P.O. box 13102, 3507 LC Utrecht, Netherlands. Electronic address: thijs.vanhouwelingen@hu.nl.
  • T Dekkers
    Centre for eHealth and Wellbeing Research, Section of Psychology, Health and Technology, University of Twente, P.O. box 217, 7500 AE Enschede, Netherlands. Electronic address: t.dekkers@utwente.nl.
  • M E M den Ouden
    Research Group Technology, Health & Care, School of Social Work, Saxion University of Applied Sciences, P.O. box 70.000, 7500 KB Enschede, Netherlands; Research Group Care and Technology, Regional Community College of Twente, P.O. box 636, 7550 AP Hengelo, Netherlands. Electronic address: m.e.m.denouden@saxion.nl.

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