Proceedings of the 9th International Conference on Engineering Management and the 2nd Forum on Modern Logistics and Supply Chain Management (ICEM-MLSCM 2024)

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Design of Chongqing Inspection Data Center Based on Cloud Native Technology Architecture

Authors
Rong Tang1, Huadong Zhang1, Yuyi Xia1, *, Ling Jiang1, Fei Zhao1
1Science and Technology Information Division, Chongqing Center for Disease Control and Prevention, Chongqing, China
*Corresponding author. Email: 297384754@qq.com
Corresponding Author
Yuyi Xia
Available Online 1 October 2024.
DOI
10.2991/978-94-6463-531-7_3How to use a DOI?
Keywords
Cloud Native; Big Data; Microservices; Inspection Mutual Recognition
Abstract

In the present work, we constructed the Chongqing Municipal Inspection Data Center leveraging the cloud native technology architecture. The system was designed as a regional medical inspection data management center, focusing on centralized management of medical inspection data access, comprehensive data quality assessment, intra-laboratory and inter-laboratory quality control management, cross-hospital access for physicians, inspection result mutual recognition, duplicate inspection reminders, and public query services for big data. Secure processing and real-time analysis were employed to achieve real-time sharing and service visualization of medical inspection data across multiple platforms and locations in Chongqing. The system features advantages such as resource elasticity deployment, agile application, and trustworthy security. It has been deployed and operated online across the entire city, providing information support to address concerns regarding difficulties and costs associated with medical treatment, thereby alleviating the economic burden on patients. Through multidimensional and multi-faceted data applications, the multiplier effect of inspection data is fully leveraged, continuously empowering disease monitoring and emergency response efforts.

Copyright
© 2024 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 the 9th International Conference on Engineering Management and the 2nd Forum on Modern Logistics and Supply Chain Management (ICEM-MLSCM 2024)
Series
Advances in Engineering Research
Publication Date
1 October 2024
ISBN
978-94-6463-531-7
ISSN
2352-5401
DOI
10.2991/978-94-6463-531-7_3How to use a DOI?
Copyright
© 2024 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

risenwbib
TY  - CONF
AU  - Rong Tang
AU  - Huadong Zhang
AU  - Yuyi Xia
AU  - Ling Jiang
AU  - Fei Zhao
PY  - 2024
DA  - 2024/10/01
TI  - Design of Chongqing Inspection Data Center Based on Cloud Native Technology Architecture
BT  - Proceedings of the 9th International Conference on Engineering Management and the 2nd Forum on Modern Logistics and Supply Chain Management (ICEM-MLSCM 2024)
PB  - Atlantis Press
SP  - 13
EP  - 23
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-531-7_3
DO  - 10.2991/978-94-6463-531-7_3
ID  - Tang2024
ER  -