title: Development of a methodology for the detection of hospital financial outliers using information systems.
abstract: 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.
authors.affiliation: Division of Medical Informatics, Department of Social Informatics, Graduate School of Informatics, Kyoto University, Japan.
authors.forename: Sachiko
authors.initials: S
authors.lastname: Okada
authors.forename: Keisuke
authors.initials: K
authors.lastname: Nagase
authors.forename: Ayako
authors.initials: A
authors.lastname: Ito
authors.forename: Fumihiko
authors.initials: F
authors.lastname: Ando
authors.forename: Yoshiaki
authors.initials: Y
authors.lastname: Nakagawa
authors.forename: Kazuya
authors.initials: K
authors.lastname: Okamoto
authors.forename: Naoto
authors.initials: N
authors.lastname: Kume
authors.forename: Tadamasa
authors.initials: T
authors.lastname: Takemura
authors.forename: Tomohiro
authors.initials: T
authors.lastname: Kuroda
authors.forename: Hiroyuki
authors.initials: H
authors.lastname: Yoshihara
mesh_terms: D000465:Algorithms; D019985:Benchmarking; D004469:Economics, Hospital; D005377:Financial Management, Hospital; D006801:Humans; D015233:Models, Statistical; D016311:Outliers, DRG / Q000191:economics*
keywords: hospital financial management; outlier detection; proximity-based outlier detection method