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Related papers: Use of Emergency Departments by Frail Elderly Pati…

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Frequent users of emergency departments (ED) pose a significant challenge to hospital emergency services. Despite a wealth of studies in this field, it is hardly understood, what medical conditions lead to frequent attendance. We examine…

Applications · Statistics 2018-09-03 Jens Rauch , Jens Hüsers , Birgit Babitsch , Ursula Hübner

We study the estimation of the probability distribution of individual patient waiting times in an emergency department (ED). Our feature-rich modelling allows for dynamic updating and refinement of waiting time estimates as patient- and…

Applications · Statistics 2020-06-02 Siddharth Arora , James W. Taylor , Ho-Yin Mak

Background: The stochastic behavior of patient arrival at an emergency department (ED) complicates the management of an ED. More than 50% of hospitals ED capacity tends to operate beyond its normal capacity and eventually fails to deliver…

Computers and Society · Computer Science 2019-01-10 Avishek Choudhury

Objective: To describe the association of demographic factors with triage acuity, hospital admission rates, and length of stay (LOS) for adult patients in the emergency department (ED). Methods: We performed a retrospective cross-sectional…

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…

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…

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…

Computers and Society · Computer Science 2025-05-13 Abdulaziz Ahmed , Khalid Y Aram , Mohammed Alzeen , Orhun Vural , James Booth , Brittany F. Lindsey , Bunyamin Ozaydin

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…

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…

Computers and Society · Computer Science 2021-02-01 G. Fava , T. Giovannelli , M. Messedaglia , M. 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…

Machine Learning · Computer Science 2026-05-20 Orhun Vural , Abdulaziz Ahmed , Ferhat Zengul , James Booth , Bunyamin Ozaydin

Optimization of patient throughput and wait time in emergency departments (ED) is an important task for hospital systems. For that reason, Emergency Severity Index (ESI) system for patient triage was introduced to help guide manual…

Computers and Society · Computer Science 2018-04-11 Djordje Gligorijevic , Jelena Stojanovic , Wayne Satz , Ivan Stojkovic , Kathrin Schreyer , Daniel Del Portal , Zoran Obradovic

Emergency department (ED) crowding has been an increasing problem worldwide. Prior research has identified factors that contribute to ED crowding. However, the relationships between these remain incompletely understood. This study's…

There were 25.6 million attendances at Emergency Departments (EDs) in England in 2019 corresponding to an increase of 12 million attendances over the past ten years. The steadily rising demand at EDs creates a constant challenge to provide…

We estimate average responses curves for treatment time in the Emergency Department (ED). Extending treatment time is considered a promising solution for improving admission decisions. Providing empirical support for this solution, however,…

Modeling the arrival process to an Emergency Department (ED) is the first step of all studies dealing with the patient flow within the ED. Many of them focus on the increasing phenomenon of ED overcrowding, which is afflicting hospitals all…

Optimization and Control · Mathematics 2021-01-28 A. De Santis , T. Giovannelli , S. Lucidi , M. Messedaglia , M. Roma

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…

Computer Science and Game Theory · Computer Science 2022-07-12 Sanyukta Deshpande , Lavanya Marla , Alan Scheller-Wolf , Siddharth Prakash Singh

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,…

Performance · Computer Science 2026-01-16 Sahba Baniasadi , Paul M. Griffin , Prakash Chakraborty

Evaluating the clinical similarities between pairwise patients is a fundamental problem in healthcare informatics. A proper patient similarity measure enables various downstream applications, such as cohort study and treatment comparative…

Machine Learning · Statistics 2019-02-12 Zihao Zhu , Changchang Yin , Buyue Qian , Yu Cheng , Jishang Wei , Fei Wang

Background: Emergency department (ED) overcrowding remains a major challenge, causing delays in care and increased operational strain. Hospital management often reacts to congestion after it occurs. Machine learning predictive modeling…

Machine Learning · Computer Science 2025-04-29 Orhun Vural , Bunyamin Ozaydin , Khalid Y. Aram , James Booth , Brittany F. Lindsey , Abdulaziz Ahmed

Asymmetric information in healthcare implies that patients could have difficulty trading off non-health and health related information. I document effects on patient demand when predicted wait time is disclosed to patients in an emergency…

General Economics · Economics 2023-09-26 Stephenson Strobel
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