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

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

Authors
Hongpu Hu1, Yanli Wan2, Liqin Xie2, Xingyun Lei2, Yan Wang2, Qingkun Chen2, Yong Wang3, Jianhong Yao4, *
1School of Marxism & School of Humanities and Social Sciences, Institute of Medical Information, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
2Institute of Medical Information, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
3Beijing Red Cross Blood Center, Beijing, China
4Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
*Corresponding author. Email: 2810713435@qq.com
Corresponding Author
Jianhong Yao
Available Online 28 February 2025.
DOI
10.2991/978-94-6463-656-7_9How to use a DOI?
Keywords
public health; management model; implementation pathway; intelligent public health emergency management
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.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of 2024 4th International Conference on Public Management and Big Data Analysis (PMBDA 2024)
Series
Advances in Economics, Business and Management Research
Publication Date
28 February 2025
ISBN
978-94-6463-656-7
ISSN
2352-5428
DOI
10.2991/978-94-6463-656-7_9How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Hongpu Hu
AU  - Yanli Wan
AU  - Liqin Xie
AU  - Xingyun Lei
AU  - Yan Wang
AU  - Qingkun Chen
AU  - Yong Wang
AU  - Jianhong Yao
PY  - 2025
DA  - 2025/02/28
TI  - A Study on the Model and Implementation Pathway of Intelligent Public Health Emergency Management
BT  - Proceedings of 2024 4th International Conference on Public Management and Big Data Analysis (PMBDA 2024)
PB  - Atlantis Press
SP  - 84
EP  - 97
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-656-7_9
DO  - 10.2991/978-94-6463-656-7_9
ID  - Hu2025
ER  -