Real-time estimation of inpatient beds required in emergency departments.

Background: Long boarding time in emergency department (ED) leads to increased morbidity and mortality. Prediction of admissions upon triage could improve ED care efficiency and decrease boarding time.

Objective: To develop a real-time automated model (MA) to predict admissions upon triage and compare this model with triage nurse prediction (TNP).