Design and implementation of registration system based on Elasticsearch
10.3969/j.issn.1672-8270.2024.02.022
- VernacularTitle:基于Elasticsearch的挂号系统设计与实现
- Author:
Mengqi CAO
1
;
Hongtao YU
;
Zhen LIANG
Author Information
1. 安徽医科大学生物医学工程学院 合肥 230032
- Keywords:
Elasticsearch search engine;
Neuron organic object description language(NOODL);
Search appointment;
Diversified appointment method;
Comprehensive registration platform
- From:
China Medical Equipment
2024;21(2):109-113
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To design and implement a registration system based on Elasticsearch,so as to solve the problems of the conventional registration system included single method of appointment and registration,and one-sidedness information of search registration platform,and to meet the growing needs of patients for diversified and intelligent medical registration and treatment.Methods:The browser/server(B/S)architecture was used to implement the design of registration system.The front-end used the neuron organic object description language(NOODL)language to render the interface,and implemented interaction between function methods and interface data through Typescript.The Elasticsearch search engine implemented high efficient search functions.The back-end processed the requirements of data through the(edge-based cloud object storage)ECOS system,and stored business data in the MySQL database.The system included a three-layer architecture with application layer,service layer and storage layer,which can realize a series of functions such as login and registration,search for appointments,link appointments,scan code for appointments,and setting appointment information by doctors.Results:The registration system based on Elasticsearch can realize multiple methods of appointment registration such as online search appointment,exclusive link appointment of hospital,appointment by scanning code,etc.,which was suitable to multiple platforms such as Web and mobile device.It has been applied in many overseas medical institutions.As of June 2023,the system possessed 219 doctors,and had serviced for 19,903 patients,and had completed 62,737 appointments,which saved a lot of time for patients to seek medical treatment,and improved operation efficiency of hospital.Conclusion:The registration system based on Elasticsearch can meet the diversified and intelligent needs of patients for medical treatment,which can provide comprehensive,accurate and intelligent services of appointment and treatment for patients,and can effectively improve the efficiency of appointment and treatment.
