Proceedings of the 4th Management Science Informatization and Economic Innovation Development Conference, MSIEID 2022, December 9-11, 2022, Chongqing, China

Research Article

Design and Implementation of Intelligent Medical System based on Microservices

Download406 downloads
  • @INPROCEEDINGS{10.4108/eai.9-12-2022.2327629,
        author={Hai  Bai and Xiaoyan  Liu},
        title={Design and Implementation of Intelligent Medical System based on Microservices},
        proceedings={Proceedings of the 4th Management Science Informatization and Economic Innovation Development Conference, MSIEID 2022, December 9-11, 2022, Chongqing, China},
        publisher={EAI},
        proceedings_a={MSIEID},
        year={2023},
        month={3},
        keywords={microservice; spring cloud; service latency; load capacity},
        doi={10.4108/eai.9-12-2022.2327629}
    }
    
  • Hai Bai
    Xiaoyan Liu
    Year: 2023
    Design and Implementation of Intelligent Medical System based on Microservices
    MSIEID
    EAI
    DOI: 10.4108/eai.9-12-2022.2327629
Hai Bai1,*, Xiaoyan Liu1
  • 1: Kunming University of Science and Technology
*Contact email: 3305965101@qq.com

Abstract

It aims at the shortcomings of the current traditional monolithic medical information management system such as stability, scalability, coordination between development and testing and operation and maintenance personnel, and long software development cycle. The Spring Cloud framework of microservices was used to redesign the traditional monolithic system to build an intelligent medicine management system (IMM) system. The response speed and scalability of the reconstructed IMM system are greatly improved, and it is convenient for O&M personnel to better manage it, which solves the complexity of the traditional monolithic architecture extension function. The results show that the average delay of the reconstructed IMM system in calling services is about 370ms, the submission delay of data services is about 240ms, and the load capacity is also increased by 42%, which is a huge improvement compared with the traditional monolithic system.