基于数据挖掘的医疗信息管理系统设计  

Design of Medical Information Management System Based on Data Mining

作　　者：黄晞[1,2] HUANG Xi(Wujin Hospital Affiliated to Jiangsu University,Changzhou 213002,China;The Wujin Clinical College,Xuzhou Medical University,Changzhou 213002,China)

机构地区：[1]江苏大学附属武进医院,江苏常州213002 [2]徐州医科大学武进临床学院,江苏常州213002

出　　处：《微型电脑应用》2021年第3期35-38,共4页Microcomputer Applications

基　　金：2019年江苏省高等教育教改研究立项项目(2019JSJG287)。

摘　　要：常规的医疗信息管理系统,在长时间高并发模式下的数据吞吐量达不到系统需求,导致其运行过程中出现卡顿,无法满足用户需求,为此提出基于数据挖掘的医疗信息管理系统设计研究。选择合适的主控制器,采用两种不同频段的射频模块,减少串扰;利用数据挖掘技术,将业务信息分类处理,根据数据项定义表,整理药品进销存信息,实现基于数据挖掘的医疗信息管理系统设计。为测试所设计系统性能,设计了仿真对照实验,将其与两种常规系统相比较,实验结果表明,所设计系统在长时间高并发模式下的数据吞吐量远高于常规系统,能够维持系统的正常运行,满足用户需求。When the traditional medical information management system is operated in a long-term and high concurrency mode, the data throughput cannot meet the needs of the system, which may break the operation, and cannot meet the needs of users. Therefore, a new design of medical information management system based on data mining is proposed. It selects an appropriate main controller, uses two different frequency bands for RF to reduce crosstalk. It uses data mining technology to classify business information. According to the data item definition table, it sorts out the drug purchase, sale and storage information, and realizes the design of medical information management system based on data mining. In order to test the performance of the designed system, a simulation control experiment is proposed by comparing with the two conventional systems. The experimental results show that the data throughput of the designed system is much higher than that of the conventional system in the long-term and high concurrency mode, which can maintain the normal operation of the system and meet the needs of users.

关 键 词：数据挖掘 医疗信息管理 系统设计 数据库 数据吞吐量 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]