Towards responsible implementation of monitoring technologies in institutional care
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Increasing awareness of errors and harms in institutional care settings, combined with rapid advancements in artificial intelligence, have resulted in a widespread push for implementing monitoring technologies in institutional settings. There has been limited critical reflection in gerontology regarding the ethical, social, and policy implications of using these technologies. We critically review current scholarship regarding use of monitoring technology in institutional care, and identify key gaps in knowledge and important avenues for future research and development.
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Interest in surveillance technologies for monitoring workers in nursing homes pre-dates the pandemic and is part of a broader phenomenon of algorithmic management across sectors such as retail, manufacturing, banking, hotels, and call centers.
“interest in these technologies for monitoring workers in nursing homes pre-dates the pandemic and is part of a broader phenomenon of algorithmic management across sectors such as retail, manufacturing, banking, hotels, and call centers (Grigorovich and Kontos, 2020; Wood, 2021).”
From Algorithmic harms and digital ageism in the use of surveillance technologies in nursing homes (2022) · cites this paper as Grigorovich and Kontos, 2020
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Cited by
Sorted by citations
Algorithmic harms and digital ageism in the use of surveillance technologies in nursing homes
Berridge, C., & Grigorovich, A. (2022) · Frontiers in Sociology · doi:10.3389/fsoc.2022.957246 · Cited by 47 · see citing works
“Consider the meaning and impact of aggressive actions and movements by people living with dementia that are assumed to be disease-driven behavioral symptoms (Grigorovich et al., 2019; Grigorovich and Kontos, 2020).”
BackgroundInfluentialSelf-citationUnsupervised deep learning to detect agitation from videos in people with dementia
Khan, S. S., Mishra, P. K., Javed, N., Ye, B., Newman, K., Mihailidis, A., & Iaboni, A. (2022) · IEEE Access · doi:10.1109/access.2022.3143990 · Cited by 44 · see citing works
Grigorovich, A., Kulandaivelu, Y., Newman, K., Bianchi, A., Khan, S. S., Iaboni, A., & McMurray, J. (2021) · Journal of Medical Internet Research · doi:10.2196/22831 · Cited by 33 · see citing works
Self-citationEthical Issues Raised by Artificial Intelligence and Big Data in Population Health: A Scoping Review
Couture, V., Roy, M.-C., Dez, E., Tremblay, F., & Bélisle-Pipon, J.-C. (2025) · Frontiers in Sociology · doi:10.3389/fsoc.2025.1536389 · Cited by 3 · see citing works
- Authors
- Grigorovich, A., & Kontos, P.
- Affiliations
- University Health Network (CA)
- Corresponding author
- Grigorovich, Alisa
- Venue
- The Gerontologist
- Publisher
- Oxford University Press (OUP)
- Published
- 2020-01-20
- Volume
- 60
- Issue
- 7
- Pages
- 1194-1201
- ISSN
- 0016-9013 (ISSN-L)
- 1758-5341
- PMC
- PMC7491435
- OpenAlex
- W3002514201
- Cited by
- 29
- References
- 4
- Citations by year
- 2026: 6 · 2025: 4 · 2024: 5 · 2023: 3 · 2022: 6 · 2021: 4 · 2020: 1
- FWCI
- 3.75
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- The Gerontologist (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- Funders
- Canadian Institutes of Health Research
- Topics
- Health Sciences › Health Professions › General Health Professions › Geriatric Care and Nursing Homes
- Social Sciences › Demography › Technology Use by Older Adults
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Keywords
- monitoring technology, institutional care, elderly care, artificial intelligence, ethics of technology, social consequences, policy implications
- MeSH terms
- Artificial Intelligence, Forecasting, Humans, Technology
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