| The reform of the medical system has been carried out, and the medical industry is facing increasing competitive pressure. More hospitals than ever pay more attention to the use of information technology to understand the operation of the hospital. The traditional hospital medical system has accumulated a large amount of data, but it has not been able to effectively use these resources. In order to improve the competitiveness in many hospitals,the hospital urgently needs a according to their own needs of the industry, the establishment of a data platform for the formation of the data warehouse, data analysis and decision making, the establishment of the system corresponding to the display to the hospital by the image and report form. Intelligent analysis of hospital data, the depth of excavation of existing hospital data in the system, more convenient for hospital managers to make decision rationally for hospital management, can predict the future trajectorythrough past data.In this thesis, data warehouse, on-line analysis and data mining are used to design and research intelligent data analysis of hospital. Focus on outpatient, inpatient, drug data analysis and research. This thesis introduces the theory knowledge of data extraction,cleaning, storage and mining, and the application of OLAP and DM in this system.Intelligent hospital management system mainly includes some functions of inpatient and outpatient, medicine, medical technology, patients and other modules, this thesis mainly introduces the inpatient and outpatient drug, module design and implementation, discusses the use of the technology.The system designed in this thesis is the first generation, and the effect is good during the test run. This system is based on the historical data of Shaanxi Province, Chang'an hospital based in the hospital needs under the target of massive data in a more intuitive way to show to the user, greatly facilitate the staff to find the potential value of information from complex data. |
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