An exhaustive review and analysis on applications of statistical forecasting in hospital emergency departments
Emergency departments (EDs) provide medical treatment for a broad spectrum of illnesses
and injuries to patients who arrive at all hours of the day. The quality and efficient delivery of …
and injuries to patients who arrive at all hours of the day. The quality and efficient delivery of …
Performance evaluation of Emergency Department patient arrivals forecasting models by including meteorological and calendar information: A comparative study
The volume of daily patient arrivals at Emergency Departments (EDs) is unpredictable and is
a significant reason of ED crowding in hospitals worldwide. Timely forecast of patients …
a significant reason of ED crowding in hospitals worldwide. Timely forecast of patients …
Hospital daily outpatient visits forecasting using a combinatorial model based on ARIMA and SES models
L Luo, L Luo, X Zhang, X He - BMC health services research, 2017 - Springer
Background Accurate forecasting of hospital outpatient visits is beneficial for the reasonable
planning and allocation of healthcare resource to meet the medical demands. In terms of the …
planning and allocation of healthcare resource to meet the medical demands. In terms of the …
[HTML][HTML] A systematic review of the modelling of patient arrivals in emergency departments
S Jiang, Q Liu, B Ding - Quantitative Imaging in Medicine and …, 2023 - ncbi.nlm.nih.gov
Background Accident and Emergency Department (AED) is the frontline of providing
emergency care in a hospital and research focusing on improving decision-makings and …
emergency care in a hospital and research focusing on improving decision-makings and …
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 …
Artificial intelligence and discrete-event simulation for capacity management of intensive care units during the Covid-19 pandemic: a case study
The Covid-19 pandemic has pushed the Intensive Care Units (ICUs) into significant
operational disruptions. The rapid evolution of this disease, the bed capacity constraints, the …
operational disruptions. The rapid evolution of this disease, the bed capacity constraints, the …
A forecasting framework for the Indian healthcare sector index
J Sen - International Journal of Business Forecasting and …, 2022 - inderscienceonline.com
Forecasting of future stock prices is a complex and challenging research problem due to the
random variations that the time series of these variables exhibit. In this work, we study the …
random variations that the time series of these variables exhibit. In this work, we study 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 …