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Review | Open Access

Digital Healthy Aging in China: Current Landscape and the Way Forward

Yingpeng Qiu1, Han Yao2 , Ping Ren3, Xueqing Tian1, Xuefei Gu4 ( )
Divison of Digital Health Research, China National Health Development Research Center, Beijing, China
School of Health Policy and Management, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
Department of Public Psychological Services, National Center for Mental Health, Beijing, China
Department of Health Technology Assessment and Innovation, China National Health Development Research Center, Beijing, China

Yingpeng Qiu and Han Yao contributed equally to this study.

SPECIAL ISSUE Artificial Intelligence and Technologies for Ageing Societies

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Abstract

China is experiencing rapid population aging, which poses increasing challenges for healthcare and social support systems. Digital health technologies, including artificial intelligence, big data, and telemedicine, offer innovative solutions to support healthy aging and integrated care. This paper reviews China's national strategies, digital innovations, and service models, with a focus on applications across different functional stages of older adults' daily living. Ethical considerations, policy challenges, and practical case studies are also discussed, providing insights for building inclusive, technology‐enabled health systems in aging societies.

Graphical Abstract

This review illustrates China's journey toward digital healthy aging, navigating the challenges of population aging through national strategies and innovative digital technologies to enable integrated, personalized care for older adults.

Keywords

digital health technologydigital healthy agingintegrated carepopulation aging

References

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Health Care Science
Volume 5 Issue 5,
October 2026
Pages 532-541
DOI: 10.1002/hcs2.70097

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Cite this article:
Qiu Y, Yao H, Ren P, et al. Digital Healthy Aging in China: Current Landscape and the Way Forward. Health Care Science, 2026, 5(5): 532-541. https://doi.org/10.1002/hcs2.70097

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Received: 09 November 2025
Revised: 23 March 2026
Accepted: 29 April 2026
Published: 11 September 2026
© 2026 The Author(s). Tsinghua University Press.

This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.