Academic Journal of Humanities & Social Sciences, 2026, 9(1); doi: 10.25236/AJHSS.2026.090101.
Ailing Shi, Yongkang Zhao, Qi Qi, Qingzhe Hu
School of Education, Lanzhou University of Arts and Science, Lanzhou, 730010, China
As China’s population aging intensifies, the drawbacks of traditional elderly care models have become increasingly prominent. Exploring new elderly care models has become a key measure to address the challenges of aging. Since 2011, China has introduced policies related to smart elderly care, promoting the transformation of the elderly care field towards intelligence and technology. New-generation information technologies such as artificial intelligence and big data have empowered the development of the elderly care industry. In this context, based on relevant national policies, this paper analyzes the important significance of smart elderly care, and based on the real needs of the elderly, discusses the problems existing in China’s current smart elderly care service platforms through the SWOT analysis method, and then puts forward corresponding solutions.
Aging, Smart Elderly Care, SWOT Analysis, Countermeasures
Ailing Shi, Yongkang Zhao, Qi Qi, Qingzhe Hu. Policy Support and Demand Response Strategies for Smart Elderly Care Service Platforms. Academic Journal of Humanities & Social Sciences (2026), Vol. 9, Issue 1: 1-8. https://doi.org/10.25236/AJHSS.2026.090101.
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