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Safe artificial intelligence adoption at home by ageing populations to maintain independence: A systematic textual evidence review protocol. (Preprint)

Ridout, Alicia ORCID logoORCID: https://orcid.org/0000-0001-5082-6087, Bannigan, Katrina and Gabriel, Lynne ORCID logoORCID: https://orcid.org/0000-0002-8144-090X (2026) Safe artificial intelligence adoption at home by ageing populations to maintain independence: A systematic textual evidence review protocol. (Preprint). JMIR Preprints.

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Abstract

Background:

Older people manage multiple morbidities while working longer and ageing in an AI dominated society. In the United Kingdom, adult social care is embedding AI and other technologies into home and community-based care services for older people which have implications for safety. In the absence of research, the use of a systematic textual evidence review will inform future research and guidance.

Objective:

To understand the safety requirements of older adopters of Artificial Intelligence (AI) seeking to remain independent at home.

Methods:

The review will use the Joanna Briggs Institute (JBI) Manual methodology for systematic reviews of textual evidence using its three-step search strategy and checklists for opinion, narrative, and policy. The search will include but not be limited to databases such as Web of Science search engines such as Google using advanced search, ProQuest, and a wide range of government, think tank, professional and patient focused sources. Scoring will use the JBI ConQual. Two reviewers will use JBI SUMARI software, with recourse to a third reviewer to resolve disputes. Analysis will use a pragmatic meta-aggregation, categorizing data based on commonalities, differences/tensions, and patterns, to provide meaningful insights and practice focused recommendations. Inclusion criteria The review will include people over the age of fifty who may live alone or with others and occupational therapists working in the context of practice in adult social care front door services; Institutional settings as dwellings or practice contexts will be excluded from the review.

Results:

Insights from the pilot searches informed the final protocol, optimising search methods.

Conclusions:

The purpose of this review is to critically examine policy, narrative and opinion-based literature that is already influencing society’s approach to and older people’s safe use of AI. Textual evidence provides a complementary source of evidence to understand the safety requirements of a fast-moving field like the use of AI, guiding future occupational therapy in adult social care contexts. Clinical Trial: PROSPERO 1306771. Available from: https://www.crd.york.ac.uk/PROSPERO/view/CRD420261306771.

Item Type: Article
Status: Published
DOI: 10.2196/preprints.106190
School/Department: School of Education, Language and Psychology
URI: https://ray.yorksj.ac.uk/id/eprint/15393

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