Patient Flow Analysis Based On Data Mining

As information technology and computer technology continues to develop, specifically for the hospital management, Hospital Information System-HIS system at all levels of hospitals in China in recent years has been widely applied, HIS system greatly improved the management of the hospital run more efficiently. At the same time, but also information to the hospital building a new challenge, namely, how to make full use of HIS system to produce large amounts of data, how to use data mining techniques on these data, analysis and processing so that it can promote the development of the hospital provide a basis for decision-making, There are already many foreign and domestic data warehousing, OLAP and data mining techniques applied to the medical industry's success stories.This paper track the digest of data mining at China and abroad advanced technology, combined with our medical and health units in the practical application of HIS systems, with emphasis of Gansu Provincial People's Hospital, the main HIS system, try to use data mining technology to the Gansu Provincial People's Hospital, the history of the patient treatment conducted a meta-analysis of data and focus on analysis of Gansu Provincial People's Hospital of the five characteristics of sections of the patient flow of information. Data mining and analysis process used in data mining tools are mainly Microsoft SQLServer2000 in the Analysis Manager tools, and Hangzhou entrepreneurship HIS system of data processing tools, data mining algorithms for association rules algorithm and Analysis Manager in the decision tree algorithm. For the data mining results will be the use of traditional statistical method and intuitive icons showing.In this paper, we seriously in-depth analysis of the results of data mining to identify problems and their causes, and the corresponding decision-making support the proposal.