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Predicting waiting and treatment times in emergency departments using ordinal logistic regression models
(Elsevier, 2021-03)
Background: Since providing timely care is the primary concern of emergency departments (EDs), long waiting times increase patient dissatisfaction and adverse outcomes. Especially in overcrowded ED environments, emergency ...
The likelihood of requiring a diagnostic test: Classifying emergency department patients with logistic regression
(Health Information Management Journal, 2020)
Background: Emergency departments (EDs) play an important role in health systems since they are the front line for patients with emergency medical conditions who frequently require diagnostic tests and timely treatment. ...
Analyzing main and interaction effects of length of stay determinants in emergency departments
(International Journal of Health Policy and Management, 2020)
Background: Measuring and understanding main determinants of length of stay (LOS) in emergency departments (EDs) is critical from an operations perspective, since LOS is one of the main performance indicators of ED operations. ...