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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

The availability of downstream resources plays is critical in planning the admission of elective surgery patients. The most crucial one is inpatient beds. To ensure bed availability, hospitals may use machine learning (ML) models to predict…

Machine Learning · Computer Science 2025-07-30 Pieter Smet , Martina Doneda , Ettore Lanzarone , Giuliana Carello

Diagnostic clinics are among healthcare facilities that suffer from long waiting times which can cause medical issues and lead to increases in patient no-shows. Reducing waiting times without significant capital investments is a challenging…

Optimization and Control · Mathematics 2020-04-20 Mahsa Kiani , Burak Eksioglu , Tugce Isik , Alexandria Thomas , John Gilpin

Hospitals face challenges in long-term intensive care unit (ICU) capacity planning under uncertain demand. Admission rates fluctuate over time, and LOS distributions vary with patient heterogeneity, hospital location, case mix, and clinical…

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…

Human-Computer Interaction · Computer Science 2025-10-21 Zoi Lygizou , Dimitris Kalles

This work develops a methodology for studying the effect of an offload zone on the ambulance ramping problem using a multi-server, multi-class non-preemptive priority queueing model that can be treated analytically. A prototype model for…

Systems and Control · Electrical Eng. & Systems 2024-02-01 Josef Zuk , David Kirszenblat

The surgical department and adequate access to health care are critical problems. The operating room plays a fundamental role in the performance of a hospital. The real problem faces several issues to collect data and optimize scheduling…

Signal Processing · Electrical Eng. & Systems 2019-12-25 Zahra Namazian , Emad Roghanian

Over the past decade the rate of care unit (CU) use in the United States has been increasing. With an aging population and ever-growing demand for medical care, effective management of patients' transitions among different care facilities…

Machine Learning · Computer Science 2016-11-11 Hongteng Xu , Weichang Wu , Shamim Nemati , Hongyuan Zha

Assigning patients to rooms and nurses to patients are critical tasks within hospitals that directly affect patient and staff satisfaction, quality of care, and hospital efficiency. Both patient-to-room assignments and nurse-to-patient…

The timely handling of passengers is critical to efficient airport and airline operations. The pandemic requirements mandate adapted process designs and handling procedures to maintain and improve operational performance. Passenger…

Physics and Society · Physics 2022-07-20 Michael Schultz , Majid Soolaki , Mostafa Salari , Elnaz Bakhshian

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

Effective hospital capacity management is pivotal for enhancing patient care quality, operational efficiency, and healthcare system resilience, notably during demand spikes like those seen in the COVID-19 pandemic. However, devising optimal…

Computers and Society · Computer Science 2024-04-01 Felix Parker , Fardin Ganjkhanloo , Diego A. Martínez , Kimia Ghobadi

Patient-to-room assignment (PRA) is a scheduling problem in decision support for hospitals. It consists of assigning patients to rooms according to certain objectives, e.g., avoiding transfers and respecting single-room requests. This work…

Optimization and Control · Mathematics 2024-02-20 Tabea Brandt , Christina Büsing , Felix Engelhardt

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

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 Medical Services (EMS) in the United States and similar systems typically utilize a single treatment pathway, transporting all patients to emergency departments (EDs), regardless of their actual care needs or preferences. Recent…

Optimization and Control · Mathematics 2025-06-25 Eric G. Stratman , Justin J. Boutilier , Laura A. Albert

Background: Most acute stroke (AS) patients in the United States are initially evaluated at a primary stroke center (PSC) and a significant proportion requires transfer to a comprehensive stroke center (CSC) for advanced treatment. A CSC…

Quantitative Methods · Quantitative Biology 2022-02-16 Hojun Choi , Ohad Perry , Jane Holl , Shyam Prabhakaran

Emergency Department (ED) crowding is a worldwide issue that affects the efficiency of hospital management and the quality of patient care. This occurs when the request for an admit ward-bed to receive a patient is delayed until an…

Methodology · Statistics 2019-07-05 Jack Yutong Li , Ruoqing Zhu , Annie Qu , Han Ye , Zhankun Sun

Patient triage plays a crucial role in emergency departments, ensuring timely and appropriate care based on correctly evaluating the emergency grade of patient conditions. Triage methods are generally performed by human operator based on…

Machine Learning · Computer Science 2024-03-13 Annamaria Defilippo , Pierangelo Veltri , Pietro Lio' , Pietro Hiram Guzzi

We propose combined allocation, assignment, sequencing, and scheduling problems under uncertainty involving multiple operation rooms (ORs), anesthesiologists, and surgeries, as well as methodologies for solving such problems. Specifically,…

Optimization and Control · Mathematics 2024-01-15 Man Yiu Tsang , Karmel S. Shehadeh , Frank E. Curtis , Beth Hochman , Tricia E. Brentjens