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A Study on the Model and Implementation Pathway of Intelligent Public Health Emergency Management

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

Author

Listed:
  • Hongpu Hu

    (Chinese Academy of Medical Sciences & Peking Union Medical College, School of Marxism & School of Humanities and Social Sciences, Institute of Medical Information)

  • Yanli Wan

    (Chinese Academy of Medical Sciences & Peking Union Medical College, Institute of Medical Information)

  • Liqin Xie

    (Chinese Academy of Medical Sciences & Peking Union Medical College, Institute of Medical Information)

  • Xingyun Lei

    (Chinese Academy of Medical Sciences & Peking Union Medical College, Institute of Medical Information)

  • Yan Wang

    (Chinese Academy of Medical Sciences & Peking Union Medical College, Institute of Medical Information)

  • Qingkun Chen

    (Chinese Academy of Medical Sciences & Peking Union Medical College, Institute of Medical Information)

  • Yong Wang

    (Beijing Red Cross Blood Center)

  • Jianhong Yao

    (Chinese Academy of Medical Sciences & Peking Union Medical College)

Abstract

Since the 1970s, the outbreaks of infectious diseases caused by viruses has continued to increase, showing an accelerating trend, which seriously threatens human health and poses unprecedented external pressures on public health security. How to better respond to major epidemics and public health emergencies? How to fully utilize new technologies to achieve precise prevention and control of epidemics? That is a pressing issue. This study researches intelligent public health emergency management, discusses how to leverage the advantages of information technologies such as cloud computing, big data, artificial intelligence, the Internet of Things, and 5G to meet the practical needs of public health, and then it proposes a new emergency management model of intelligent public health. It aims to design intelligent tools and platforms based on a detailed analysis of business needs, to achieve precise prevention and control of public health emergencies. The study will also provide theoretical basis and specific implementation for enhancing the emergency response capability in public health and offer guidance to promote the construction of intelligent public health emergency management in China and even globally.

Suggested Citation

  • Hongpu Hu & Yanli Wan & Liqin Xie & Xingyun Lei & Yan Wang & Qingkun Chen & Yong Wang & Jianhong Yao, 2025. "A Study on the Model and Implementation Pathway of Intelligent Public Health Emergency Management," 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 84-97, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-656-7_9
    DOI: 10.2991/978-94-6463-656-7_9
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