Evidence map›Paper›PMID 41677990›Full record

ReviewThe Journal of the Egyptian Public Health Association2026

Innovations in geriatric care: leveraging technology to meet the needs of an aging world, a narrative review.

Ayat Ashour, Ghada Othman Elkhawaga

Abstract readReview
In one paragraph

Review in The Journal of the Egyptian Public Health Association, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Ayat AshourFamily Health Department, High Institute of Public Health, Alexandria University, 165 El Horeya Avenue, Alexandria, 21561, Egypt. Hiph.aashour@alexu.edu.eg.ORCID http://orcid.org/0000-0001-9258-1401
Ghada Othman ElkhawagaPublic Health, Family and Community Medicine Department, College of Medicine, Jouf University, Sakakah, Kingdom of Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rapid global increase in the older adult population presents unprecedented challenges and opportunities for healthcare systems worldwide. This demographic shift is accompanied by a growing prevalence of chronic conditions such as cardiovascular diseases, diabetes, dementia, and other geriatric syndromes, underscoring the urgent need for innovative, age-sensitive healthcare solutions. Traditional healthcare models often fall short in addressing the complex, multifactorial needs of older adults, highlighting the need for a transformative approach to care delivery and management that integrates personalization, continuity, and technological innovation. This article is a narrative review that synthesizes recent literature published within the last ten years, drawing from PubMed, Scopus, Web of Science, and Google Scholar to explore cutting-edge advancements in geriatric care, with a focus on telemedicine, mobile health (mHealth), artificial intelligence (AI), robotics, and wearable technologies. These innovations offer promising avenues to improve healthcare accessibility, enhance patient outcomes, and alleviate the burden on caregivers. For instance, telemedicine facilitates remote consultations, reducing hospital visits and ensuring continuity of care for individuals in remote or underserved areas. mHealth applications empower older adults to actively manage their health, monitor chronic conditions, and stay connected with caregivers. Robotics and AI-driven systems provide physical support, cognitive stimulation, and personalized care planning, thereby enhancing independence and emotional well-being. However, successfully integrating these technologies into geriatric care requires addressing several challenges, including technical limitations, data privacy concerns, and disparities in digital literacy. A major hurdle lies in ensuring that these solutions are user-friendly and tailored to the diverse physical and cognitive needs of older adults.

Indexed as

Aging populationArtificial intelligenceDigital healthGeriatric caremHealthTelemedicineWearable technologies

Identifiers

PMID41677990
PMCPMC12901788

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.