Developing a Statistical Software for Predicting Hospital Bankruptcy using Data Mining Tool.
- Author:
Hye Jung CHANG
1
;
Maeng Seok NOH
Author Information
1. Department of Health Services management, Kyung Hee University, Korea. hjchang@khu.ac.kr
- Publication Type:Original Article
- Keywords:
Health Care;
Decision Support Systems;
Computer Software;
Statistical Model
- MeSH:
Bankruptcy*;
Data Mining*;
Delivery of Health Care;
Logistic Models;
Models, Statistical
- From:Journal of Korean Society of Medical Informatics
2001;7(3):9-16
- CountryRepublic of Korea
- Language:Korean
-
Abstract:
Since the hospital bankruptcy rate is increasing, it has been an important issue to predict the bankruptcy of hospital using the existing hospital management information. Fortunately, the implementation of data mining methodology and decision support system(DSS) are becoming popular. Therefore, this study developed the statistical software for predicting hospital bankruptcy using data mining tool. Stepwise procedures were taken as follows: 1) adopting the HGLM and Logit Models; 2) implementing the input and output processes; 3) linking to the iBITs interface, the data miming tool; and 4) evaluating the software by fitting the hospital management data in practice. The software is written in Visual C++ 5.0 under windows NT/95, and allows the interconnection with other interfaces and libraries. This program initiates encouragement of implementation of DSS models using data mining methodology, in health care fields. This kind of software will play a pivotal role in improving the efficiency and adequacy of managing health care institutions.
