ArticleThe Gerontologist2023
Toward Responsible Artificial Intelligence in Long-Term Care: A Scoping Review on Practical Approaches.
Article in The Gerontologist, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
27 citing papers in PubMed.
- Hyper-RAG: combating LLM hallucinations using hypergraph-driven retrieval-augmented generation.Nature communications · 2026Article
- Using data and artificial intelligence to improve care pathways of older people experiencing falls and frailty: Opportunities, challenges and practical considerations for clinicians.Clinical medicine (London, England) · 2026Review
- Collaborative and Cooperative Hospital "In-House" Medical Device Development and Implementation in the AI Age: The European Responsible AI Development (EURAID) Framework Compatible With European Values.Journal of medical Internet research · 2026Article
- Exploring an AI-First Healthcare System.Bioengineering (Basel, Switzerland) · 2026Article
- Real-time location system implementation in dementia care: Stakeholder perspectives.The Gerontologist · 2025Article
- Application of artificial intelligence to electronic health record data in long-term care facilities: a scoping review protocol.BMJ open · 2025Article
- [How older people are learning through artificial intelligence-assisted health technologies : Cute seals and nervous fall sensors].Zeitschrift fur Gerontologie und Geriatrie · 2025Review
- Around the EQUATOR With Clin-STAR: AI-Based Randomized Controlled Trial Challenges and Opportunities in Aging Research.Journal of the American Geriatrics Society · 2025Article
- Use of Artificial Intelligence, Internet of Things, and Edge Intelligence in Long-Term Care for Older People: Comprehensive Analysis Through Bibliometric, Google Trends, and Content Analysis.Journal of medical Internet research · 2025Article
- A field study to explore user experiences with socially assistive robots for older adults: emphasizing the need for more interactivity and personalisation.Frontiers in robotics and AI · 2025Article
- Huggable integrated socially assistive robots: exploring the potential and challenges for sustainable use in long-term care contexts.Frontiers in robotics and AI · 2025Article
- Expectations and Requirements of Surgical Staff for an AI-Supported Clinical Decision Support System for Older Patients: Qualitative Study.JMIR aging · 2024Article
- Adoption of Artificial Intelligence-Enabled Robots in Long-Term Care Homes by Health Care Providers: Scoping Review.JMIR aging · 2024Article
- Making Co-Design More Responsible: Case Study on the Development of an AI-Based Decision Support System in Dementia Care.JMIR human factors · 2024Article
- AI-Assisted Decision-Making in Long-Term Care: Qualitative Study on Prerequisites for Responsible Innovation.JMIR nursing · 2024Article
- Addressing the Black Box of AI-A Model and Research Agenda on the Co-constitution of Aging and Artificial Intelligence.The Gerontologist · 2024Article
- Action Opportunities to Pursue Responsible Digital Care for People With Intellectual Disabilities: Qualitative Study.JMIR mental health · 2024Article
- Characteristics and Range of Reviews About Technologies for Aging in Place: Scoping Review of Reviews.JMIR aging · 2024Article
- The evaluation of a decision support system integrating assistive technology for people with dementia at home.Frontiers in dementia · 2024Article
- Using Voice-Activated Technologies to Enhance Well-Being of Older Adults in Long-Term Care Homes.Innovation in aging · 2024Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND AND
objectivesArtificial intelligence (AI) is widely positioned to become a key element of intelligent technologies used in the long-term care (LTC) for older adults. The increasing relevance and adoption of AI has encouraged debate over the societal and ethical implications of introducing and scaling AI. This scoping review investigates how the design and implementation of AI technologies in LTC is addressed responsibly: so-called responsible innovation (RI). RESEARCH DESIGN AND
methodsWe conducted a systematic literature search in 5 electronic databases using concepts related to LTC, AI, and RI. We then performed a descriptive and thematic analysis to map the key concepts, types of evidence, and gaps in the literature.
resultsAfter reviewing 3,339 papers, 25 papers were identified that met our inclusion criteria. From this literature, we extracted 3 overarching themes: user-oriented AI innovation; framing AI as a solution to RI issues; and context-sensitivity. Our results provide an overview of measures taken and recommendations provided to address responsible AI innovation in LTC. DISCUSSION AND IMPLICATIONS: The review underlines the importance of the context of use when addressing responsible AI innovation in LTC. However, limited empirical evidence actually details how responsible AI innovation is addressed in context. Therefore, we recommend expanding empirical studies on RI at the level of specific AI technologies and their local contexts of use. Also, we call for more specific frameworks for responsible AI innovation in LTC to flexibly guide researchers and innovators. Future frameworks should clearly distinguish between RI processes and outcomes.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.