Data dimensionality reduction for hospital efficiency measurement
10.3760/cma.j.issn.1000-6672.2014.05.023
- VernacularTitle:医院效率测量的数据降维处理方法探讨
- Author:
Jian ZHENG
;
Zhongjun GUAN
;
Zijun ZHOU
- Publication Type:Journal Article
- Keywords:
Hospital efficiency;
Measurement;
Data dimensionality reduction;
Statistical methods;
Application
- From:
Chinese Journal of Hospital Administration
2014;30(5):388-391
- CountryChina
- Language:Chinese
-
Abstract:
A comparison was made for the correlation and application scope of the statistical methods commonly used by hospitals for their efficiency measurement.Hospital data processed with PCA (principal component analysis)for dimension reduction were used in a correlation analysis for the results of ratio analysis (RA),stochastic frontier analysis(SFA)and data envelopment analysis(DEA).The authors hold that the RA can expediently display the order of hospital efficiency,the SFA demands a stricter premise yet presents more stable results,while the DEA boasts greater relative advantages and thus suitable for processing hospital efficiency measurement tasks of multi-input and multi-output indexes.
