A systematic review of research design and modeling techniques in inpatient bed management
L He, SC Madathil, A Oberoi, G Servis… - Computers & Industrial …, 2019 - Elsevier
The proper allocation of limited hospital bed resources is a complex problem caused by
uncertainties in patient length of stay, fluctuations in demands, unexpected admission …
uncertainties in patient length of stay, fluctuations in demands, unexpected admission …
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 …
On patient flow in hospitals: A data-based queueing-science perspective
M Armony, S Israelit, A Mandelbaum… - Stochastic …, 2015 - pubsonline.informs.org
Hospitals are complex systems with essential societal benefits and huge mounting costs.
These costs are exacerbated by inefficiencies in hospital processes, which are often …
These costs are exacerbated by inefficiencies in hospital processes, which are often …
ICU admission control: An empirical study of capacity allocation and its implication for patient outcomes
This work examines the process of admission to a hospital's intensive care unit (ICU). ICUs
currently lack systematic admission criteria, largely because the impact of ICU admission on …
currently lack systematic admission criteria, largely because the impact of ICU admission on …
OM forum—Healthcare operations management: A snapshot of emerging research
A new generation of healthcare operations management (HOM) scholars is studying timely
healthcare topics (eg, organization design, design of delivery, and organ transplantation) …
healthcare topics (eg, organization design, design of delivery, and organ transplantation) …
[HTML][HTML] Modeling COVID-19 hospital admissions and occupancy in the Netherlands
We describe the models we built for predicting hospital admissions and bed occupancy of
COVID-19 patients in the Netherlands. These models were used to make short-term …
COVID-19 patients in the Netherlands. These models were used to make short-term …
Accurate emergency department wait time prediction
E Ang, S Kwasnick, M Bayati… - Manufacturing & …, 2016 - pubsonline.informs.org
This paper proposes the Q-Lasso method for wait time prediction, which combines statistical
learning with fluid model estimators. In historical data from four remarkably different …
learning with fluid model estimators. In historical data from four remarkably different …
The impact of delay announcements on hospital network coordination and waiting times
We investigate the impact of delay announcements on the coordination within hospital
networks using a combination of empirical observations and numerical experiments. We …
networks using a combination of empirical observations and numerical experiments. We …
Inpatient overflow: An approximate dynamic programming approach
Problem definition: Inpatient beds are usually grouped into several wards, and each ward is
assigned to serve patients from certain “primary” specialties. However, when a patient waits …
assigned to serve patients from certain “primary” specialties. However, when a patient waits …
A structured literature review of simulation modelling applied to Emergency Departments: Current patterns and emerging trends
The public importance, wait-for-treatment ethos and clear geographic layout of Emergency
Departments (EDs) has contributed to them being one of the most commonly modelled …
Departments (EDs) has contributed to them being one of the most commonly modelled …