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Emergency Departments (EDs) overcrowding is a well recognized worldwide phenomenon. The consequences range from long waiting times for visits and treatment of patients up to life-threatening health conditions. The international community is…

计算机与社会 · 计算机科学 2021-02-01 G. Fava , T. Giovannelli , M. Messedaglia , M. Roma

Environments such as shopping malls, airports, or hospital emergency departments often experience crowding, with many people simultaneously requesting service. Crowding is highly noisy, with sudden overcrowding "spikes". Past research has…

物理与社会 · 物理学 2023-08-16 Gil Parnass , Osnat Levtzion-Korach , Renana Peres , Michael Assaf

Emergency Department (ED) overcrowding continues to be a public health issue as well as a patient safety issue. The underlying factors leading to ED crowding are numerous, varied, and complex. Although lack of in-hospital beds is frequently…

Recently, the combination of machine learning (ML) and simulation is gaining a lot of attention. This paper presents a novel application of ML within the simulation to improve patient flow within an emergency department (ED). An ML model…

计算机与社会 · 计算机科学 2020-12-03 Emad Alenany , Abdessamad Ait El Cadi

Accurate modeling of the patient flow within an Emergency Department (ED) is required by all studies dealing with the increasing and well-known problem of overcrowding. Since Discrete Event Simulation (DES) models are often adopted with the…

最优化与控制 · 数学 2021-02-02 A. De Santis , T. Giovannelli , S. Lucidi , M. Messedaglia , M. Roma

Over the past several years, across the globe, there has been an increase in people seeking care in emergency departments (EDs). ED resources, including nurse staffing, are strained by such increases in patient volume. Accurate forecasting…

Most of the studies dealing with the increasing and well-known problem of Emergency Department (ED) overcrowding usually mainly focus on modeling the patient flow within a single ED, without considering the possibilities offered by the…

最优化与控制 · 数学 2021-08-10 Christian Piermarini , Massimo Roma

Study Objective: To analyze the factors influencing Emergency Department (ED) overcrowding by examining the impacts of operational, environmental, and external variables, including weather conditions and football games. Methods: This study…

计算机与社会 · 计算机科学 2025-05-13 Abdulaziz Ahmed , Khalid Y Aram , Mohammed Alzeen , Orhun Vural , James Booth , Brittany F. Lindsey , Bunyamin Ozaydin

Problem definition: Emergency department (ED) boarding refers to the practice of holding patients in the ED after they have been admitted to hospital wards, usually resulting from insufficient inpatient resources. Boarded patients may…

最优化与控制 · 数学 2021-11-17 Shasha Han , Shuangchi He , Hong Choon Oh

Motivated by the experiences of a healthcare service provider during the Covid-19 pandemic, we aim to study the decisions of a provider that operates both an Emergency Department (ED) and a medical Clinic. Patients contact the provider…

计算机科学与博弈论 · 计算机科学 2022-07-12 Sanyukta Deshpande , Lavanya Marla , Alan Scheller-Wolf , Siddharth Prakash Singh

Emergency department (ED) crowding is a significant threat to patient safety and it has been repeatedly associated with increased mortality. Forecasting future service demand has the potential patient outcomes. Despite active research on…

Split flow models, in which a physician rather than a nurse performs triage, are increasingly being used in hospital emergency departments (EDs) to improve patient flow. Before deciding whether such interventions should be adopted, it is…

Ambulance Diversion (AD) is one of the possible strategies for relieving the worldwide phenomenon of Emergency Department (ED) overcrowding. It can be carried out when an ED is overloaded and consists of redirecting incoming by ambulance…

系统与控制 · 电气工程与系统科学 2023-09-06 Christian Piermarini , Massimo Roma

Overcrowding in emergency departments (ED) remains a persistent operational challenge worldwide, causing delays in care delivery and downstream congestion. ED boarding time, defined as the duration admitted patients remain in the ED while…

机器学习 · 计算机科学 2026-05-20 Orhun Vural , Abdulaziz Ahmed , Ferhat Zengul , James Booth , Bunyamin Ozaydin

Background/Objectives: Efficient task allocation in hospital emergency departments (EDs) is critical for operational efficiency and patient care quality, yet the complexity of staff coordination poses significant challenges. This study…

人机交互 · 计算机科学 2025-10-21 Zoi Lygizou , Dimitris Kalles

Emergency department (ED) overcrowding and patient boarding represent critical systemic challenges that compromise care quality. We propose a threshold-based admission policy that redirects non-urgent patients to alternative care pathways,…

性能 · 计算机科学 2026-01-16 Sahba Baniasadi , Paul M. Griffin , Prakash Chakraborty

Emergency departments (EDs) often use a shared-queue setup in which physicians self-assign cases from a pool of triaged patients. We conduct a multi-method study to examine this self-assignment behavior and its effects on system…

综合经济学 · 经济学 2026-05-26 Brett Hathaway , Evgeny Kagan , John Jones

We introduce a new method for forecasting emergency call arrival rates that combines integer-valued time series models with a dynamic latent factor structure. Covariate information is captured via simple constraints on the factor loadings.…

应用统计 · 统计学 2011-07-26 David S. Matteson , Mathew W. McLean , Dawn B. Woodard , Shane G. Henderson

Emergency department (ED) crowding is a well-recognized threat to patient safety and it has been repeatedly associated with increased mortality. Accurate forecasts of future service demand could lead to better resource management and has…

系统与控制 · 电气工程与系统科学 2023-01-24 Jalmari Tuominen , Teemu Koivistoinen , Juho Kanniainen , Niku Oksala , Ari Palomäki , Antti Roine

Crowd evacuation simulation is critical for enhancing public safety, and demanded for realistic virtual environments. Current mainstream evacuation models overlook the complex human behaviors that occur during evacuation, such as pedestrian…

计算机视觉与模式识别 · 计算机科学 2025-10-07 Xiaolin Liu , Tianyi Zhou , Hongbo Kang , Jian Ma , Ziwen Wang , Jing Huang , Wenguo Weng , Yu-Kun Lai , Kun Li
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