Commentary
Open Access

New quality productivity empowers the health of the elderly

WANG Yuehong
WANG Yuehong
The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310003, Zhejiang, China
,
JIANG Weipeng
JIANG Weipeng
Department of Pulmonary and Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai 200032, China; Shanghai Geriatric Medical Center, Shanghai 201104, China
,
HU Jie
HU Jie
Department of Pulmonary and Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai 200032, China; Shanghai Geriatric Medical Center, Shanghai 201104, China
,
BAI Chunxue
BAI Chunxue
bai.chunxue@zs-hospital.sh.cn
Department of Pulmonary and Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai 200032, China; Shanghai Respiratory Research Institution, Shanghai 200032, China; Shanghai Engineer & Technology Research Center of Internet of Things for Respiratory Medicine, Shanghai 200032, China
Author information
Article notes
Funding

WANG Yuehong, M.D., Ph.D., Chief Physician. E-mail: yuehongw@hotmail.com

Corresponding author, BAI Chunxue, E-mail: bai.chunxue@zs-hospital.sh.cn

Received June 18, 2025; Accepted June 27, 2025; Published June 30, 2025

Supported by Noncommunicable Chronic Diseases National Science and Technology Major Project (2024ZD0529300).

Commentary
Open Access
New quality productivity empowers the health of the elderly
WANG Yuehong
WANG Yuehong
The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310003, Zhejiang, China
,
JIANG Weipeng
JIANG Weipeng
Department of Pulmonary and Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai 200032, China; Shanghai Geriatric Medical Center, Shanghai 201104, China
,
HU Jie
HU Jie
Department of Pulmonary and Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai 200032, China; Shanghai Geriatric Medical Center, Shanghai 201104, China
,
BAI Chunxue
BAI Chunxue
bai.chunxue@zs-hospital.sh.cn
Department of Pulmonary and Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai 200032, China; Shanghai Respiratory Research Institution, Shanghai 200032, China; Shanghai Engineer & Technology Research Center of Internet of Things for Respiratory Medicine, Shanghai 200032, China
Author information

WANG Yuehong, M.D., Ph.D., Chief Physician. E-mail: yuehongw@hotmail.com

Corresponding author, BAI Chunxue, E-mail: bai.chunxue@zs-hospital.sh.cn

Article notes
Received June 18, 2025; Accepted June 27, 2025; Published June 30, 2025
Funding

Supported by Noncommunicable Chronic Diseases National Science and Technology Major Project (2024ZD0529300).

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Abstract

The health of the elderly needs to be managed in four dimensions: physiological, psychological, functional and social, so as to delay decline, prevent diseases and increase longevity, and improve life satisfaction in a scientific way. However, the elderly in China face challenges such as chronic diseases, weak awareness of health management, lack of psychological services, and barriers to the use of digital tools, coupled with the increasing proportion of people living alone and empty nests, insufficient social support, and uneven medical resources, which further exacerbate health risks. New quality productivity empowers elderly care has become the key to breaking the situation, and technologies such as smart wearable and smart medical care can improve medical accessibility and management efficiency. AI robots alleviate loneliness, and digital technology enables precision health management. It can integrate long-term care insurance and community smart health care resources to form a new one-stop pension model. Intelligent monitoring and telemedicine, digital therapeutics, VR and other technologies can be applied to disease management, rehabilitation training, and optimization of treatment plans. Smart elderly care and home care combine AI nutritionists, blockchain and other technologies to provide personalized services. Data-driven can achieve precise health management, take into account privacy and security, and build closed-loop services. Community smart health care provides digital social and emotional care through intelligent environmental perception and AI health huts to optimize service quality. The expected effects include an increase in the accident recognition rate, a shortened response time, a decrease in the accident rate, and an improvement in self-care ability.


Key Words: health of the elderly; generative pre-training transformer; internet of things; artificial intelligence; augmented reality; virtual reality

Metaverse in Medicine

ISSN: 3006-4236

Volume 2, Issue 2

June 2025

Pages: 1-64

PDF CITE Accesses: 15
Metaverse in Medicine
ISSN: 3006-4236
ZENTIME PUBLISHING CORPORATION LIMITED
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Abstract