Evidence map›Paper›PMID 41924534›Full record

ReviewInternational journal of general medicine2026

Digital Geriatric Medical Care in the Era of Big Data: A Narrative Review and Case Study of a Chinese Aged Care Facility.

Rui Zhao, Qiaoyu Zhang, Haiyun Sun, Yawei Zhang, Yue Mao, Zijie An, Kun Zhu

Abstract readReview
In one paragraph

Review in International journal of general medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Rui Zhao *Department of Basic Teaching of General Practice, The Second Affiliated Hospital of Bengbu Medical University (The Second Clinical College of Bengbu Medical University), Bengbu, People's Republic of China.
Qiaoyu Zhang *Department of Orthopaedics, The First Affiliated Hospital of Bengbu Medical University, Bengbu, People's Republic of China.
Haiyun Sun *Department of Basic Teaching of General Practice, The Second Affiliated Hospital of Bengbu Medical University (The Second Clinical College of Bengbu Medical University), Bengbu, People's Republic of China.
Yawei ZhangDepartment of Orthopaedics, The First Affiliated Hospital of Bengbu Medical University, Bengbu, People's Republic of China.
Yue MaoDepartment of Basic Teaching of General Practice, The Second Affiliated Hospital of Bengbu Medical University (The Second Clinical College of Bengbu Medical University), Bengbu, People's Republic of China.
Zijie AnDepartment of Orthopaedics, The First Affiliated Hospital of Bengbu Medical University, Bengbu, People's Republic of China.
Kun ZhuDepartment of Orthopaedics, The First Affiliated Hospital of Bengbu Medical University, Bengbu, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aims to explore the development prospects and trends of digital geriatric medical care in the era of big data. By taking the Longhu Ecological Senior Apartment in Bengbu City as a case example, the study examines the integration of intelligent healthcare systems for elderly populations and proposes solutions to bridge the digital divide, ensuring accessible healthcare for seniors in the context of rapid technological advancements. Methods: This study employed a mixed-methods approach, combining a review of national policies and global practices with an in-depth case study at the Longhu Ecological Senior Apartment in Bengbu City. Quantitative data on residents' demographics, health status, and technology adoption were collected from institutional records. Qualitative insights were obtained through semi-structured interviews with administrative staff and caregivers. Data were analyzed using descriptive statistics and thematic analysis. Results: More than 95% of the residents suffered from chronic illnesses, and 73.30% were aged 80 years or above. Despite the availability of smart medical devices, 48.80% of residents reported difficulty in using digital tools due to insufficient technological literacy, and 46.30% were unaware of product functions. Economic burden and safety concerns further hindered acceptance. The gap between the rapid growth of digital health services and seniors' limited ability to engage created a pronounced digital divide. Conclusion: To cope with the growing elderly population, digital healthcare must be further developed and tailored to meet the specific needs of the elderly. Bridging the digital divide through user-friendly technologies and policy support is crucial. The integration of 5G, telemedicine, and virtual reality holds great potential for improving elderly healthcare services, but a coordinated effort from the government, healthcare providers, and technology developers is necessary for sustainable and effective implementation.

Indexed as

big datadevelopment analysisdigital healthgeriatrics

Identifiers

PMID41924534
PMCPMC13036236

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.