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...

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Bibliographic Details
Published in:IEEE Access
Main Authors: Shuguang Lin, Paul Rouse, Ying-Ming Wang, Fan Zhang
Format: Article
Language:English
Published: IEEE 2022-01-01
Subjects:
Outlier detection
diagnosis-related group (DRG)
statistical model
DRG distributions
Online Access:https://ieeexplore.ieee.org/document/9727171/

Internet

https://ieeexplore.ieee.org/document/9727171/

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