Prevalence and Economic Burden of Mental Illness Among Middle-Aged and Older Adults in China: The Role of Artificial Intelligence in Predicting Healthcare Burden

Yutian Chen (), Wenhu Xu (), Zhinan Liu (), Hang Zhu () and Gong Chen ()
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Yutian Chen: Peking University, Institute of Population Research
Wenhu Xu: Peking University, Institute of Population Research
Zhinan Liu: Peking University, Institute of Population Research
Hang Zhu: Peking University, Institute of Population Research
Gong Chen: Peking University, Institute of Population Research

A chapter in Proceedings of 2024 4th International Conference on Public Management and Big Data Analysis (PMBDA 2024), 2025, pp 137-145 from Springer

Abstract: Abstract China’s middle-aged and elderly people have a high prevalence of mental illness and a heavy financial burden. According to the study, between 2011 and 2018, the average annual medical costs of patients with mental illness rose sharply, and the proportion of out-of-pocket payments for rural patients declined but was still higher than that of urban areas. Artificial intelligence plays a significant role in predicting diseases and optimizing resource allocation. Promoting home-based intelligent robot-assisted treatment can reduce care costs and improve treatment efficiency. Meanwhile, the AI disease co-management model is expected to further reduce the medical burden of patients with mental illnesses through whole-life health management.

Keywords: Mental Illness; Economic Burden; AI; Middle-aged and Older Adults (search for similar items in EconPapers)
Date: 2025
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DOI: 10.2991/978-94-6463-656-7_14

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