Research And Implementation Of Hospital Management Online Analysis System

With the popularity of hospital information system applications, in the process of hospital management massive of data have emerged. After accumulated over the years, the massive data became bigger and bigger, the information it contains can’t be ignored, especially the information for hospital management. And the information supplies valid scientific knowledge for the relevant departments to develop business management system and decision scheme. Therefore, how to get the information have been an important part of developing the hospital information technology.Data Warehouse technology is the most widely used data analysis and processing technology, it provides professional data processing and data analysis services. As well as the development of data warehouse technology, many kinds of the related skills were also raised. One of the most significant application skills of data warehouse is OLAP, it focused on decision support. OLAP supports complex data analysis methods and provides users with intuitive query results. OLAP can provide fast, stable, and interactive access to the data in data warehouse. It takes variety observation of the data and analysis in different angles, so OLAP can give out the useful information for management decision-makers.Currently, the generated data of the enterprise information system operator is exponential growth. People’s daily production activity produce a large amount of data, the coming large data can’t be handled by a single server. In response to this phenomenon, researchers have proposed the idea of distributed parallel processing. Hadoop distributed platform is the most widely distributed processing technology, it is an architecture that can be framed and used distributed platform. Users to easily develop and run on top of Hadoop applications handle massive data. Hadoop has a highly reliable, highly scalable, efficient, and highly fault-tolerant advantages, Hadoop have a wide range of applications in large-scale data processing of web search, data mining, and scientific computing.This paper is rely on Hospital operating data, do deep research on OLAP on line analysis processing technology and the Hadoop Distributed platform technology. And combine the two technologies into the hospital operating data analysis system. First, we do depth study of the related technologies for data analysis, do analysis of the data from the hospital management carefully at the same time. Then, according to the actual situation of the hospital operating data, combined with the technical characteristics of OLAP technology and Hadoop distributed technology proposed OLAP optimization techniques. OLAP optimization techniques take the dimension member hierarchy relation into according, combined with index technology, cache technology, and parallel technology to achieve the goal to save the storage space at the same time improve the efficiency of data analysis. Finally, we join the parallel OLAP optimize technology into Hospital Management online analysis system, and show some important parts analysis result of the online analysis system.The main work of this paper can be divided into the following parts:First, we do deep research on the Hadoop distributed technology and OLAP technology and the related data analysis techniques. Second, do analysis on the hospital operating data, according to the requirements of the system, we select the fittest one to do the future job. We build the hospital management data warehouse and storage the data into HDFS distributed file system, and use Hive--the data warehouse tools to manage all the data. Third, based on the actual situation of the hospital operating data and the study of OLAP technology, we raise the new parallel OLAP optimization techniques. It can reduce the storage of data warehouse and improve the efficiency of analysis system at the same time. Fourth, we build up the Hadoop Distributed development platform ensure the normal work of each node in the distributed environment and they can reach each other easily. Finally, hospital management online analysis system was built up, parallel OLAP optimization technology plays an important role in the system. We got the aim to improve the efficiency of analysis system and show parts result of it.