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

Chung-Hsien ChaouHsiu-Hsi ChenShu-Hui ChangPetrus TangShin-Liang PanAmy Ming-Fang YenTe-Fa Chiu
Published in: PloS one (2017)
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.
Keyphrases
  • emergency department
  • end stage renal disease
  • chronic kidney disease
  • newly diagnosed
  • ejection fraction
  • peritoneal dialysis
  • public health
  • prognostic factors
  • patient reported