A Statistical Model to Detect DRG Outliers

This study aims to develop a statistical model to detect both high and low outlier cases in terms of diagnosis-related group (DRG) distributions. A data set containing five DRGs with 458 patient cases was selected for the study. The distributions of DRG cost and length of stay (LOS) are examined fir...

詳細記述

書誌詳細

出版年:	IEEE Access
主要な著者:	Shuguang Lin, Paul Rouse, Ying-Ming Wang, Fan Zhang
フォーマット:	論文
言語:	英語
出版事項:	IEEE 2022-01-01
主題:	Outlier detection diagnosis-related group (DRG) statistical model DRG distributions
オンライン･アクセス:	https://ieeexplore.ieee.org/document/9727171/