Review of modeling approaches for emergency department patient flow and crowding research
JL Wiler, RT Griffey, T Olsen - Academic Emergency Medicine, 2011 - Wiley Online Library
ACADEMIC EMERGENCY MEDICINE 2011; 18: 1371–1379© 2011 by the Society for
Academic Emergency Medicine Abstract Emergency department (ED) crowding is an …
Academic Emergency Medicine Abstract Emergency department (ED) crowding is an …
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 …
A discrete-event simulation model of hospital patient flow following major earthquakes
Following a major disaster, hospitals must promptly rearrange their organization and
treatment procedures to deal with the sudden arrival of a high number of injured people to …
treatment procedures to deal with the sudden arrival of a high number of injured people to …
A multi-method patient arrival forecasting outline for hospital emergency departments
Patient arrivals at the emergency department (ED) of hospitals has an unpredictable
behavior. So that, adequate forecasting of this process can serve a management baseline to …
behavior. So that, adequate forecasting of this process can serve a management baseline to …
Machine learning in patient flow: a review
This work is a review of the ways in which machine learning has been used in order to plan,
improve or aid the problem of moving patients through healthcare services. We decompose …
improve or aid the problem of moving patients through healthcare services. We decompose …
The effects of temperature on accident and emergency department attendances in London: a time-series regression analysis
I Corcuera Hotz, S Hajat - … journal of environmental research and public …, 2020 - mdpi.com
The epidemiological research relating mortality and hospital admissions to ambient
temperature is well established. However, less is known about the effect temperature has on …
temperature is well established. However, less is known about the effect temperature has on …
Machine learning-based patient load prediction and IoT integrated intelligent patient transfer systems
A mismatch between staffing ratios and service demand leads to overcrowding of patients in
waiting rooms of health centers. Overcrowding consequently leads to excessive patient …
waiting rooms of health centers. Overcrowding consequently leads to excessive patient …
A modeling framework that combines markov models and discrete-event simulation for stroke patient care
Stroke disease places a heavy burden on society, incurring long periods of hospital and
community care. Also stroke is a highly complex disease with heterogeneous outcomes and …
community care. Also stroke is a highly complex disease with heterogeneous outcomes and …
Using phase-type models to cost stroke patient care across health, social and community services
Stroke disease places a heavy burden on society, incurring long periods of time in hospital
and community care, and associated costs. Also stroke is a highly complex disease with …
and community care, and associated costs. Also stroke is a highly complex disease with …
Emergency department visit forecasting and dynamic nursing staff allocation using machine learning techniques with readily available open-source software
A Zlotnik, A Gallardo-Antolin, MC Alfaro… - CIN: Computers …, 2015 - journals.lww.com
Although emergency department visit forecasting can be of use for nurse staff planning,
previous research has focused on models that lacked sufficient resolution and realistic error …
previous research has focused on models that lacked sufficient resolution and realistic error …