Development of a methodology for the detection of hospital financial outliers using information systems

SUMMARY Comparison of financial indices helps to illustrate differences in operations and efficiency among similar hospitals. Outlier data tend to influence statistical indices, and so detection of outliers is desirable. Development of a methodology for financial outlier detection using information...

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Bibliographic Details
Published in:The International journal of health planning and management 2014-07, Vol.29 (3), p.e207-e232
Main Authors: Okada, Sachiko, Nagase, Keisuke, Ito, Ayako, Ando, Fumihiko, Nakagawa, Yoshiaki, Okamoto, Kazuya, Kume, Naoto, Takemura, Tadamasa, Kuroda, Tomohiro, Yoshihara, Hiroyuki
Format: Article
Language:English
Subjects:
Algorithms
Benchmarking
Economics, Hospital
Financial Management, Hospital
Health administration
Health policy
hospital financial management
Hospitals
Humans
Income
Information systems
Models, Statistical
outlier detection
Outliers, DRG - economics
Profitability
proximity-based outlier detection method
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Summary:SUMMARY Comparison of financial indices helps to illustrate differences in operations and efficiency among similar hospitals. Outlier data tend to influence statistical indices, and so detection of outliers is desirable. Development of a methodology for financial outlier detection using information systems will help to reduce the time and effort required, eliminate the subjective elements in detection of outlier data, and improve the efficiency and quality of analysis. The purpose of this research was to develop such a methodology. Financial outliers were defined based on a case model. An outlier‐detection method using the distances between cases in multi‐dimensional space is proposed. Experiments using three diagnosis groups indicated successful detection of cases for which the profitability and income structure differed from other cases. Therefore, the method proposed here can be used to detect outliers. Copyright © 2013 John Wiley & Sons, Ltd.
ISSN:0749-6753
1099-1751
DOI:10.1002/hpm.2194