[HTML][HTML] A model to predict length of stay in a hospital emergency department and enable planning for non-critical patients admission

E Bruballa, A Wong, F Epelde, D Rexachs, E Luque - 2016 - ijic.org
Introduction: The progressive growth of aging, increased life expectancy and greater number
of chronic diseases contributes significantly on the growing demand of emergency medical …

Modeling daily patient arrivals at Emergency Department and quantifying the relative importance of contributing variables using artificial neural network

M Xu, TC Wong, KS Chin - Decision Support Systems, 2013 - Elsevier
Emergency Department (ED) plays a critical role in healthcare systems by providing
emergency care to patients in need. The quality of ED services, measured by waiting time …

A hybrid approach for forecasting patient visits in emergency department

Q Xu, KL Tsui, W Jiang, H Guo - Quality and Reliability …, 2016 - Wiley Online Library
An accurate forecast of patient visits in emergency departments (EDs) is one of the key
challenges for health care policy makers to better allocate medical resources and service …

Predicting hospital admissions to reduce crowding in the emergency departments

J Cusidó, J Comalrena, H Alavi, L Llunas - Applied Sciences, 2022 - mdpi.com
Having an increasing number of patients in the emergency department constitutes an
obstacle to the admissions process and hinders the emergency department (ED)'s ability to …

An intelligent scheduling of non-critical patients admission for emergency department

E Bruballa, A Wong, D Rexachs, E Luque - Ieee Access, 2019 - ieeexplore.ieee.org
The combination of the progressive growth of an aging population, increased life expectancy
and a greater number of chronic diseases all contribute significantly to the growing demand …

Predicting length of stay among patients discharged from the emergency department—using an accelerated failure time model

CH Chaou, HH Chen, SH Chang, P Tang, SL Pan… - PloS one, 2017 - journals.plos.org
Background Emergency department (ED) crowding continues to be an important health care
issue in modern countries. Among the many crucial quality indicators for monitoring the …

Predicting waiting time to treatment for emergency department patients

A Pak, B Gannon, A Staib - International Journal of Medical Informatics, 2021 - Elsevier
Background The current systems of reporting waiting time to patients in public emergency
departments (EDs) has largely relied on rolling average or median estimators which have …

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 …

Prediction model for in-hospital admission in patients arriving in the emergency department

E Martinez, C Fernández… - Anales del Sistema …, 2012 - europepmc.org
[Prediction model for in-hospital admission in patients arriving in the emergency department]. -
Abstract - Europe PMC Sign in | Create an account https://orcid.org Europe PMC Menu About …

[HTML][HTML] Analyzing main and interaction effects of length of stay determinants in emergency departments

G Sarıyer, MG Ataman, İ Kızıloğlu - International journal of health …, 2020 - ncbi.nlm.nih.gov
Background: Measuring and understanding main determinants of length of stay (LOS) in
emergency departments (EDs) is critical from an operations perspective, since LOS is one of …