A comprehensive review of emergency department simulation applications for normal and disaster conditions
Hospital emergency departments (HEDs) are the most critical units since they undertake a
vital health care mission. It is required for these departments to find out rational solution …
vital health care mission. It is required for these departments to find out rational solution …
Simulation of emergency department operations: A comprehensive review of KPIs and operational improvements
L Vanbrabant, K Braekers, K Ramaekers… - Computers & Industrial …, 2019 - Elsevier
Emergency departments (EDs) are one of the main entry points of a hospital, offering non-
stop healthcare services to patients with various needs. ED crowding is considered a major …
stop healthcare services to patients with various needs. ED crowding is considered a major …
Simulation-based optimisation: analysis of the emergency department resources under COVID-19 conditions
S Jahangiri, M Abolghasemian… - … journal of industrial …, 2023 - inderscienceonline.com
The emergency department (ED) is the most important section in every hospital. The ED
behaviour is adequately complex, because the ED has several uncertain parameters such …
behaviour is adequately complex, because the ED has several uncertain parameters such …
An integrated approach of discrete event simulation and a non-radial super efficiency data envelopment analysis for performance evaluation of an emergency …
An emergency department (ED) has been considered as one of the most congested
department in a hospital. The congestion is typically contributed by long waiting time to get …
department in a hospital. The congestion is typically contributed by long waiting time to get …
Time series modelling and forecasting of emergency department overcrowding
Efficient management of patient flow (demand) in emergency departments (EDs) has
become an urgent issue for many hospital administrations. Today, more and more attention …
become an urgent issue for many hospital administrations. Today, more and more attention …
Forecasting emergency department overcrowding: A deep learning framework
As the demand for medical cares has considerably expanded, the issue of managing patient
flow in hospitals and especially in emergency departments (EDs) is certainly a key issue to …
flow in hospitals and especially in emergency departments (EDs) is certainly a key issue to …
Towards accurate prediction of patient length of stay at emergency department: a GAN-driven deep learning framework
Recently, the hospital systems face a high influx of patients generated by several events,
such as seasonal flows or health crises related to epidemics (eg, COVID'19). Despite the …
such as seasonal flows or health crises related to epidemics (eg, COVID'19). Despite the …
Improved principal component analysis for anomaly detection: Application to an emergency department
Monitoring of production systems, such as those in hospitals, is primordial for ensuring the
best management and maintenance desired product quality. Detection of emergent …
best management and maintenance desired product quality. Detection of emergent …
Seasonal ARMA-based SPC charts for anomaly detection: Application to emergency department systems
Monitoring complex production systems is primordial to ensure management, reliability and
safety as well as maintaining the desired product quality. Early detection of emergent …
safety as well as maintaining the desired product quality. Early detection of emergent …
Forecasting daily volume and acuity of patients in the emergency department
R Calegari, FS Fogliatto, FR Lucini… - … methods in medicine, 2016 - Wiley Online Library
This study aimed at analyzing the performance of four forecasting models in predicting the
demand for medical care in terms of daily visits in an emergency department (ED) that …
demand for medical care in terms of daily visits in an emergency department (ED) that …