住院时间超长患者数据自动分析方法的设计与实现  

Design and Implementation of Auto-analysis for Long-time Inpatients' Data

作　　者：刘炜[1] 蔡敏芳[1] 童俊东[1] 刘政[1] 

机构地区：[1]华中科技大学同济医学院附属协和医院计算机管理中心

出　　处：《中国数字医学》2016年第7期31-33,52,共4页China Digital Medicine

摘　　要：设计了一种医院住院时间超长患者数据自动分析方法,包括:采集一段时间内住院时间超长患者的相关信息,以形成分析样本数据;对采集的分析样本数据运用模糊数学和聚类分析方法进行原因分类,得到聚类分析结果;根据所述聚类分析结果,运用分类分析方法对实际样本数据进行原因归类,并输出各原因类别对应的样本数据量;运用ABC分类法得到所述实际样本数据的主因、根本原因,进而制定决策措施。通过本方法,能够自动完成对住院时间超长患者的原因分析,并输出结果,为医疗管理部门决策提供依据。This paper designs an automatic data analysis method about those patients who stay in the hospital over a long time.Collecting the information of the patients staying over long days in a period of time. Analyzing the data of the collected samples withfuzzy mathematics and cluster analysis, and the result of cluster analysis comes from it. Classification analysis method for the actualsample data classification, and the output of the sample data corresponding to the various types of data. Finding the main reasonand root cause of actual data, from the analysis of ABC classification, and then formulate rectification measures. This method willautomatically analyze and output the main cause of the patients staying over long days. IT also provide decision-making basis formedical management department.

关 键 词：平均住院日 数据分析 新技术 

分 类 号：R399[医药卫生—基础医学] R319