A Study of the Digital Health Management Needs of the Elderly

Gao, Ya and Layas, Fatma and Dong, Yijing and Li, Jiayi (2025) A Study of the Digital Health Management Needs of the Elderly. Advances in Science, Technology and Engineering Systems Journal, 10 (2). pp. 42-48. ISSN 2415-6698

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Abstract

The purpose of this paper is to explore the feasibility and development trend of utilizing smart medical technology for chronic disease health management in older people in the context of ageing at home. As the ageing society intensifies, the elderly population faces multiple health challenges, especially the management of chronic diseases. This paper analyzes the potential of smart medical technologies, such as remote monitoring, artificial intelligence, and the Internet of Things (IoT), to improve the efficiency and quality of health management for older people. By leveraging Maslow's Hierarchy of Needs Theory and Fogg's Behavioral Model, the article explores how to design smart health management products that meet the different health needs of older adults. In addition, the article discusses the barriers that the elderly population may encounter in accepting and using technology, such as the digital divide and technology adaptation issues, and proposes relevant coping strategies. Ultimately, the article concludes that with the continuous development of technology, smart healthcare technology will play an increasingly important role in geriatric health management, helping to improve the health status of older people, enhance their quality of life, and promote the innovation and development of social health management. The research in this paper provides new ideas for designing health management products for older people and supports the design and optimization of intelligent health management services.

Item Type:	Article
Uncontrolled Keywords:	Digital health, Health Management, Smart Health Technology, Technology impact, Needs of older people
Subjects:	H Social Sciences > H Social Sciences (General)
Divisions:	Institutes and Academies > Wales Institute for Science & Art (WISA) > Academic Discipline: Applied Computing
Depositing User:	Fatma Layas
Date Deposited:	19 May 2025 13:23
Last Modified:	22 May 2025 10:20
URI:	https://repository.uwtsd.ac.uk/id/eprint/3721

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