2014年
Development of a methodology for the detection of hospital financial outliers using information systems
International Journal of Health Planning and Management
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- 巻
- 29
- 号
- 3
- 開始ページ
- e207
- 終了ページ
- e232
- 記述言語
- 英語
- 掲載種別
- 研究論文(学術雑誌)
- DOI
- 10.1002/hpm.2194
- 出版者・発行元
- WILEY
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. © 2013 John Wiley & Sons, Ltd.
- リンク情報
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- DOI
- https://doi.org/10.1002/hpm.2194
- PubMed
- https://www.ncbi.nlm.nih.gov/pubmed/23785010
- Web of Science
- https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000340532000002&DestApp=WOS_CPL
- Scopus
- https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84905502344&origin=inward
- Scopus Citedby
- https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=84905502344&origin=inward
- URL
- http://onlinelibrary.wiley.com/wol1/doi/10.1002/hpm.2194/fullpdf
- ID情報
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- DOI : 10.1002/hpm.2194
- ISSN : 0749-6753
- eISSN : 1099-1751
- PubMed ID : 23785010
- SCOPUS ID : 84905502344
- Web of Science ID : WOS:000340532000002