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

In: Proceedings of 2024 4th International Conference on Public Management and Big Data Analysis (PMBDA 2024)

Author

Listed:
  • 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)

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.

Suggested Citation

  • Yutian Chen & Wenhu Xu & Zhinan Liu & Hang Zhu & Gong Chen, 2025. "Prevalence and Economic Burden of Mental Illness Among Middle-Aged and Older Adults in China: The Role of Artificial Intelligence in Predicting Healthcare Burden," Advances in Economics, Business and Management Research, in: Soon M. Chung & Fairouz Kamareddine & Azah Kamilah Draman & Sim Kwan Yong (ed.), Proceedings of 2024 4th International Conference on Public Management and Big Data Analysis (PMBDA 2024), pages 137-145, Springer.
  • Handle: RePEc:spr:advbcp:978-94-6463-656-7_14
    DOI: 10.2991/978-94-6463-656-7_14
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