Data Mining Analysis of Inpatient Fees in Hospital Information System
Although data mining and knowledge discovery techniques have been used to clinical medicine frequently, little research has been conducted on hospital decision-making. Decision-making is a crucial part of hospital management, and it goes the whole process of medical behavior. Medical data in Hospital Information System is always complicated and especial, and this consequently aggravates burden on data analysis. In this paper, we explore how data mining and knowledge discovery can be applied to hospital management, and propose a modified data mining method that is appropriate for mass data in Hospital Information System. We first build a model based on inpatient fees theme, and then analyze it in three aspects: medical insurance fee, department annual fee and fee compositions. The knowledge discovery and analysis is based on Intersystem BI tool DeepSee.
YU Hai-yan LI Jing-song HAN Xiong HU Zhen ZHOU Tian-shu CHI Jie ZHENG Tao
Healthcare Informatics Engineering Research Center, Zhejiang University, Hangzhou,310027, China Shanghai Changning District Health Bureau, Shanghai, 200050, China
国际会议
2009 IEEE International Symposium on IT in Medicine & Education( IEEE 教育与医药信息化国际会议)
济南
英文
82-85
2009-08-14（万方平台首次上网日期，不代表论文的发表时间）