已发表论文

大数据时代的数字化老年医疗护理:叙述性综述及中国养老机构案例研究

 

Authors Zhao R, Zhang Q, Sun H, Zhang Y, Mao Y, An Z, Zhu K

Received 27 July 2025

Accepted for publication 8 January 2026

Published 21 January 2026 Volume 2026:19 556468

DOI https://doi.org/10.2147/IJGM.S556468

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 3

Editor who approved publication: Dr Satish Nair

Rui Zhao,1,* Qiaoyu Zhang,2,* Haiyun Sun,1,* Yawei Zhang,2 Yue Mao,1 Zijie An,2 Kun Zhu2,3 

1Department 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; 2Department of Orthopaedics, The First Affiliated Hospital of Bengbu Medical University, Bengbu, People’s Republic of China; 3Institute of Digital and Intelligent Healthcare, Bengbu Medical University, Bengbu, People’s Republic of China

*These authors contributed equally to this work

Correspondence: Kun Zhu, Department of Orthopaedics, The First Affiliated Hospital of Bengbu Medical University, Bengbu, People’s Republic of China, Email zk19870128@163.com

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.

Keywords: digital health, geriatrics, big data, development analysis