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Healthc Inform Res > Volume 7(3); 2001 > Article
Journal of Korean Society of Medical Informatics 2001;7(3):9-16.
DOI: https://doi.org/10.4258/jksmi.2001.7.3.9    Published online September 30, 2001.
Developing a Statistical Software for Predicting Hospital Bankruptcy using Data Mining Tool
Hye Jung Chang, Maeng Seok Noh
1Department of Health Services management, Kyung Hee University, Korea.
2Department of Health Industry Informatics, Korea Health Industry Development Institute, Seoul, Korea.

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.

Key Words: Health Care, Decision Support Systems, Computer Software, Statistical Model


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