A Research of Data Mining Applied to Emergency Department For High Resource-Used Patients .
Date Issued
2004
Date
2004
Author(s)
Chou, Hsin-Kai
DOI
zh-TW
Abstract
In order to improve the crowds of emergency department , increase the efficiency of medical staff , and supply comprehensive urgently medical service to patients , the only way is to understand the relationship between characteristics and expenses of patients in emergency department. In the other words , hospital can supply professional and personal service to patients who had some special needs by mining knowledge form large data of hospital.
The research focuses on the following three kinds of high resource-used patients：patients who re-visit emergency during 72 hours，stay at emergency over 24 hours，and spend high medical expenditure in emergency department. The main purpose of this research is to explore the characteristics of high resource-used patients in Emergence department. At the same time, we can also make something come true like that ：
(1) proving the contribution of data mining technology in hospital management,
(2) finding out potential characteristics of patient to enhance the customer relationship management in hospital.
The methodology of this research is a popular technology applied in business management for many years , including profitability analysis, customers attraction, market segmentation, asset risk management, and cross selling. And then, this research use cluster analysis, basket analysis and decision tree to mine modeling of hidden patterns in large volumes of patient data and to transform such data into information and even knowledge.
The conclusions of the research obtained are listed as follows：
(1) High resource-used patients of the research in this hospital are much less than normal patients；even if this kinds of patients stay more times , spend more medical expenditure and re-visit emergency department during 72 hours.
(2) The research suggests hospital can supply specific services to patients who have different medical needs；therefore , hospital can decrease the resource wasted by some patients.
Subjects
急診醫療
資料探勘
emergency department
data mining
medical informatics
Type
thesis