Design And Implementation Of Municipal Cooperative Medical Information Aided Decision System

Today,in the 21 st century,the rapid development of Internet technology leads people to a new age of information.But the medical sector in our country has failed to make full use of it.In fact,the utilization rate of network is very low.Take the new rural cooperative medical system for example,it still fails to take advantage of information technologies and the traditional manual mode of work still occupies the main position.Therefore,how to use latest technologies to realize the true value of the new rural cooperative medical care has become a very important research topic at present.Based on the characteristics of municipal rural cooperative medical system,this paper analyzes the current situation of the new rural cooperative medical system.Meanwhile,analyzing the actual development of decision support system,it puts forward the application of Apriori algorithm in the auxiliary decision-making process of the new rural cooperative medical system.First of all,this article explains the related notion of the auxiliary decision-making system and analyze Data mining related algorithms.Then it establishes a Data warehouse module in the auxiliary decision-making process of the new rural cooperative medical system.This module,using Java programming language,constructs the B/S model of the program.Then,the data warehouse is built with data collected from the management process of the new rural cooperative system.And these data are processed in the data warehouse.With the help of DB Sourse component of SIB,the model information is extracted from the new rural cooperative medical system.Then Apriori algorithm is used to analyze the extracted data.In the process of data integration,SIB provides the DB Operator component to convert,clean,filter and so on.By formatting a unified data structure,it achieves data standardization to eliminate the problem of inconsistency.Finally,it provides technical support for users of new rural cooperative medical system by analyzing and mining these data,so as to achieve detailed and intelligent medical services.It gives full play to the advantage of information system to realize high work efficiency and may be used by further research on the auxiliary decision system for reference.