Prognostic models for predicting patient arrivals in emergency departments: an updated systematic review and research agenda.

ABSTRACT:

Background

Emergency departments (ED) are struggling with an increased influx of patients. One of the methods to help departments prepare for surges of admittance is time series forecasting (TSF). The aim of this study was to create an overview of current literature to help guide future research. Firstly, we aimed to identify external variables used. Secondly, we tried to identify TSF methods used and their performance.

Methods

We included model development or validation studies that were forecasting patient arrivals to the ED and used external variables. We included studies on any forecast horizon and any forecasting methodology. Literature search was done through PubMed, Scopus, Web of Science, CINAHL and Embase databases. We extracted data on methods and variables used. T

SUBMITTER: Petravic L 

PROVIDER: S-EPMC12219896 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature