多样化医疗救援任务下机动卫勤力量信息系统设计与实现
Design and implementation of mobile medical force information system for diversified medical rescue missions
刘沛 1黄昊 1张可珺 2于亚萍 3张戎4
作者信息
- 1. 陆军特色医学中心信息科,重庆 400030
- 2. 陆军特色医学中心门诊部,重庆 400030
- 3. 陆军特色医学中心神经内科,重庆 400030
- 4. 陆军特色医学中心战伤救治勤务研究室,重庆 400030
- 折叠
摘要
目的 为适应多样化医疗救援任务,提升对批量伤员流转和指挥效率,拟设计安全、稳定、灵活、可扩展的机动卫勤力量信息系统.方法 该系统基于B/S和C/S架构设计,Web前端应用采用Vue.js架构,移动前端采用JAVA语言编写,应用服务逻辑采用SpringCloud框架和myBatis框架,数据存储管理层采用MySQL关系型数据库和Redis缓存机制,并开放标准数据接口;业务功能包括指挥、分类后送、收容留治、重伤救治、手术、医疗保障和后勤保障等7个可根据任务需求灵活配置的模块.结果 该系统可根据不同类型应急医疗救援任务设置业务流程,提升伤员救治效率并完整归档伤员救治过程信息.结论 该系统开放标准数据接口用于多业务系统间互联互通,提升军队医院机动卫勤力量执行多样化应急医疗救援任务的效能,为指挥员提供高效、便捷的信息化决策支撑.
Abstract
Objective To design a safe,stable,flexible,and scalable information system for mobile medical forces to enhance the efficiency of command and casualty treatment during diversified medical rescue missions.Methods A mobile medical force information system was developed with a layered architecture based on both Browser/Server(B/S)and Client/Server(C/S)frameworks.In this system,the front-end presentation layer was developed with Vue.js architecture,the back-end application layer by SpringCloud and Mybatis frameworks,the data management layer was devised using MySQL and Redis databases to provide standard data interfaces for other systems.This system covered several functional modules including command,casualty triage and evacuation,minor injury treatment,severe injury rescue,emergency surgery,medical service,and logistical support,which could be flexibly configured according to different types of missions.Results Information about casualty treatment was recorded in detail,accessed and traced easily.The efficiency of information statistics was improved.Conclusion The developed system enhances the efficiency of decision-making and casualty management for mobile medical forces during varied medical rescue missions.
关键词
医疗救援/卫勤保障/决策支撑/数据可视化/信息系统Key words
medical rescue/health service support/decision-making support/data visualization/information system引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据