基于医院住院数据的系统分析和实现

发布时间：2019-03-29 20:25

【摘要】：随着信息时代的到来,信息技术已经在企业中得到了广泛的应用,对于医院而言同样如此,各家都在大量应用信息系统,以此来提升医院的工作效率,这些系统会产生大量的数据,只要有效地利用这些数据,就可帮助医院制定出有效的发展决策。医院信息系统自从被开发出来后就逐渐应用于医院的管理工作中,但该系统所使用的数据管理方式相对比较传统,为不能有效地对数据进行挖掘。这样,虽然系统中形成了大量的数据,但并不能为医院的发展决策提供依据,同时还影响了数据管理的效率,必须要采取有效地方式去解决这些问题。本文阐述了在医院信息系统中挖掘医学数据的意义,介绍了数据挖掘的流程和几种分类方法,提取医院信息管理中的业务数据,设计并构建了以病人、诊断和费用三个主题为基础的数据仓库,进一步再借助于SSAS来创建多维数据集,从而完成多维数据分析,最后再将分析结果以图表的形式展现出来。
[Abstract]:With the advent of the information age, information technology has been widely used in enterprises, as is the case for hospitals, all of them are applying a large number of information systems in order to improve the efficiency of hospital work. These systems produce large amounts of data that can help hospitals make effective development decisions as long as they are used effectively. The hospital information system has been gradually applied to hospital management since it was developed. However, the data management mode used in the system is relatively traditional, so it can not effectively mine the data. Thus, although a large amount of data has been formed in the system, it can not provide the basis for the development decision-making of the hospital, at the same time, it also affects the efficiency of the data management, so it is necessary to take an effective way to solve these problems. This paper expounds the significance of mining medical data in hospital information system, introduces the process of data mining and several classification methods, extracts the business data from hospital information management, designs and constructs patients. The multi-dimensional data warehouse based on diagnosis and cost is built with the help of SSAS, and then the multidimensional data analysis is completed. At last, the analysis results are presented in the form of graph.
【学位授予单位】：青岛大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：R197.3;TP311.13

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