title: Visualization method for finding critical care factors in variance analysis.
abstract: We present a novel visualization method for finding care factors in variance analysis. The analysis has two stages: first stage enables users to extract a significant variance, and second stage enables users to find out a critical care factors of the variance. The analysis has been validated by using synthetically created inpatient care processes. It was found that the method is efficient in improving clinical pathways.
authors.affiliation: Central Research Laboratory, Hitachi, Ltd., Tokyo, Japan.
authors.forename: Shuntaro
authors.initials: S
authors.lastname: Yui
authors.forename: Yoshitaka
authors.initials: Y
authors.lastname: Bito
authors.forename: Kiyohiro
authors.initials: K
authors.lastname: Obara
authors.forename: Takuya
authors.initials: T
authors.lastname: Kamiyama
authors.forename: Kumiko
authors.initials: K
authors.lastname: Seto
authors.forename: Hideyuki
authors.initials: H
authors.lastname: Ban
authors.forename: Akihide
authors.initials: A
authors.lastname: Hashizume
authors.forename: Masashi
authors.initials: M
authors.lastname: Haga
authors.forename: Yuji
authors.initials: Y
authors.lastname: Oka
mesh_terms: D000704:Analysis of Variance; D003422:Critical Care; D019091:Critical Pathways; D003626:Data Display; D006801:Humans