ArticleBMC geriatrics2025
Artificial intelligence and telemedicine in elderly healthcare: A mixed-methods study.
Article in BMC geriatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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Who cites it
1 citing paper in PubMed.
- Drivers of Artificial Intelligence (AI) Adoption in Supporting Chronic Disease Management in Primary Care: A Scoping Review.Nursing reports (Pavia, Italy) · 2026Review
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Authors and funding
1 author.
Funding
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Abstract
backgroundArtificial Intelligence (AI) and telemedicine are increasingly integrated into geriatric healthcare, offering opportunities for early detection, monitoring, and improved access. Adoption among older adults in India remains limited because of accessibility, digital literacy, cost, and ethical concerns.
methodsA cross-sectional mixed-methods study was conducted in Aligarh (urban, semi-urban), India, between January and June 2025. Quantitative surveys were administered to 200 older adults (≥ 60 years) and in-depth interviews were conducted with 20 elderly participants and 10 healthcare professionals. Quantitative data were analyzed using descriptive statistics, correlation, and multiple regression; qualitative data underwent thematic analysis.
resultsFifty-two percent of participants reported using at least one AI-enabled healthcare tool (wearable monitors 32%; teleconsultations 28%). Adoption was higher in urban than rural participants (p < 0.01). Regression analysis showed digital literacy (β = 0.41, p = 0.002) and family support (β = 0.36, p = 0.004) were significant predictors of perceived empowerment, independent of age and education. Reported benefits included convenient access (61%), improved chronic-disease monitoring (54%), and better medication adherence (42%); primary barriers were low digital literacy (49%), cost (45%), and lack of trust (37%). Healthcare professionals highlighted data-privacy and ethical concerns and the risk of reduced human contact.
conclusionsAI-enabled telemedicine holds promise for improving aspects of geriatric care in India but is constrained by inequities, literacy gaps, affordability, and ethical challenges. Policy actions to promote elder-centered digital literacy, subsidized access, and regulatory safeguards are needed to ensure technologies complement rather than replace human care. Findings may inform national digital-inclusion and elder-care initiatives.
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