Predicting Length of Stay among Patients Discharged from the Emergency Department—Using an Accelerated Failure Time Model

Chung‐Hsien Chaou, S. H. Chang, Shin‐Liang Pan, Amy Ming‐Fang Yen, Te-Fa Chiu

PLoS ONE · 2017 · 81 citations · 21 references

DOIFull text

Open access

Abstract

The influential factors on the ED LOS in discharged patients were identified and quantified in the current study. The model's predicted ED LOS may provide useful information for physicians or patients to better anticipate an individual's LOS and to help the administrative level plan its staffing policy.

References

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