Time-series cohort study to forecast emergency department visits in the city of Milan and predict high demand: a 2-day warning system
R Murtas, S Tunesi, A Andreano, AG Russo - BMJ open, 2022 - bmjopen.bmj.com
Objectives The emergency department (ED) is one of the most critical areas in any hospital.
Recently, many countries have seen a rise in the number of ED visits, with an increase in …
Recently, many countries have seen a rise in the number of ED visits, with an increase in …
No more winter crisis? Forecasting daily bed requirements for emergency department admissions to hospital
M Wargon, D Brun-Ney, L Beaujouan… - European Journal of …, 2018 - journals.lww.com
Methods We carried out a prospective-observational study including data from 18 ED
located in the Paris metropolitan area. Daily through-ED hospitalizations numbers from 2007 …
located in the Paris metropolitan area. Daily through-ED hospitalizations numbers from 2007 …
From model to forecasting: a multicenter study in emergency departments
M Wargon, E Casalino, B Guidet - Academic Emergency …, 2010 - Wiley Online Library
ACADEMIC EMERGENCY MEDICINE 2010; 17: 970–978© 2010 by the Society for
Academic Emergency Medicine Abstract Objectives: This study investigated whether …
Academic Emergency Medicine Abstract Objectives: This study investigated whether …
Knowing what to expect, forecasting monthly emergency department visits: A time-series analysis
J Bergs, P Heerinckx, S Verelst - International emergency nursing, 2014 - Elsevier
Objective To evaluate an automatic forecasting algorithm in order to predict the number of
monthly emergency department (ED) visits one year ahead. Methods We collected …
monthly emergency department (ED) visits one year ahead. Methods We collected …
Predicting hospital emergency department visits accurately: A systematic review
E Silva, MF Pereira, JT Vieira… - … Journal of Health …, 2023 - Wiley Online Library
Objectives The emergency department (ED) is a very important healthcare entrance point,
known for its challenging organisation and management due to demand unpredictability. An …
known for its challenging organisation and management due to demand unpredictability. An …
Predicting emergency department visits in a large teaching hospital
NS Erkamp, DH van Dalen, E de Vries - International journal of …, 2021 - Springer
Background Emergency department (ED) visits show a high volatility over time. Therefore,
EDs are likely to be crowded at peak-volume moments. ED crowding is a widely reported …
EDs are likely to be crowded at peak-volume moments. ED crowding is a widely reported …
Forecasting daily attendances at an emergency department to aid resource planning
Y Sun, BH Heng, YT Seow, E Seow - BMC emergency medicine, 2009 - Springer
Background Accurate forecasting of emergency department (ED) attendances can be a
valuable tool for micro and macro level planning. Methods Data for analysis was the counts …
valuable tool for micro and macro level planning. Methods Data for analysis was the counts …
Application of time series analysis in modelling and forecasting emergency department visits in a medical centre in Southern Taiwan
Objective Emergency department (ED) overcrowding is acknowledged as an increasingly
important issue worldwide. Hospital managers are increasingly paying attention to ED …
important issue worldwide. Hospital managers are increasingly paying attention to ED …
Forecasting daily emergency department arrivals using high-dimensional multivariate data: a feature selection approach
Abstract Background and objective Emergency Department (ED) overcrowding is a chronic
international issue that is associated with adverse treatment outcomes. Accurate forecasts of …
international issue that is associated with adverse treatment outcomes. Accurate forecasts of …
Real-time forecasting of emergency department arrivals using prehospital data
A Asheim, LP Bache-Wiig Bjørnsen… - BMC emergency …, 2019 - Springer
Background Crowding in emergency departments (EDs) is a challenge globally. To
counteract crowding in day-to-day operations, better tools to improve monitoring of the …
counteract crowding in day-to-day operations, better tools to improve monitoring of the …