Factors that influence the implementation of AI-driven lifestyle monitoring in long-term care for older adults
This study showed that to optimize implementation of AI-driven lifestyle monitoring, organizations should address privacy concerns, provide training, engage in system (re)design, and create a shared vision. A comprehensive multi-level approach across all levels is essential for successful AI integration in long-term care for older adults.
Authors
- Tessa Dekkers (ORCID: https://orcid.org/0000-0003-2787-3293)
- Rudolf M. Verdaasdonk (ORCID: https://orcid.org/0000-0002-3115-637X)
- Harmieke van Os‐Medendorp (ORCID: https://orcid.org/0000-0003-3300-2101)
- Marjolein E.M. den Ouden (ORCID: https://orcid.org/0000-0001-7821-1578)
- JEWC van Gemert-Pijnen
- Sjors Groeneveld (ORCID: https://orcid.org/0000-0003-3942-9691)
- T J Verveda
- R Witteveen
Institutions
- Saxion (NL)
- Spaarne Ziekenhuis (NL)
- Ziekenhuis Groep Twente (NL)
- Spaarne Gasthuis (NL)
- Inholland University of Applied Sciences (NL)
- University of Twente (NL)
Publication Details
- Journal
- The Gerontologist
- Published
- 2025-10-02
- DOI
- https://doi.org/10.1093/geront/gnaf230
- Primary Topic
- Geriatric Care and Nursing Homes
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Nederlandse Organisatie voor Wetenschappelijk Onderzoek