Medical Information Technology Research And Implement Multi-dimensional Analysis Based On NoSQL

In recent years, computer technology has become used in hospital very widely. With the use of a variety of hospital information systems, a lot of hospital data is generated rapidly. The hospital managers do not know how to get the important and valuable information from the data, and it is very hard for them to do this. Therefore, more and more hospitals focus on multidimensional analysis of medical information. It helps to hospital managers grasp the irrational changes of the hospital information, and make effective judgments. How to find important decision-making information quickly and efficiently through the medical information for manager is very important.The expense factors of the hospital information is being attracted by the hospital managers. They need to grasp the distribution of the hospital expense urgently. This paper studies the multi-dimensional analysis of the expense of the hospital information. Main research work of this paper is as follows:First of all, the paper has carried on the brief analysis of the research and application of multidimensional analysis technology at home and abroad. And then the paper studies and designs several modules of the system, for example source configuration, cube configuration, report configuration, dynamically constructed SQL statements, multidimensional data analysis and chart show of the results.Second, the paper studies and designs a distributed cache cluster model and, the query of multidimensional analysis results through the consistent hashing algorithm and virtual node is distributed to more than one cache server evenly, in order to improve the results of the analysis of load and velocity are displayed. For cache server, the problem of insufficient memory space, this paper designs a cache replacement strategy based on the optimal value of degree, when the cache space limit is reached, it can replace the low value data with the high data.Finally, the paper develops the multidimensional analysis of medical information system, completes the medical charts show data information. It is very convenient for management decision makers to observe the correlation analysis of medical data.