Forecasting hourly emergency department arrival using time series analysis

Avishek Choudhury & Estefania Urena
Background/aims The stochastic arrival of patients at hospital emergency departments complicates their management. More than 50% of a hospital's emergency department tends to operate beyond its normal capacity and eventually fails to deliver high-quality care. To address this concern, much research has been carried out using yearly, monthly and weekly time-series forecasting. This article discusses the use of hourly time-series forecasting to help improve emergency department management by predicting the arrival of future patients. Methods...

Registration Year

  • 2020

Resource Types

  • Dataset


  • Stevens Institute of Technology
  • Lincoln Medical Center