Emergency medical services and beyond: Addressing new challenges through a wide literature review

R Aringhieri, ME Bruni, S Khodaparasti… - Computers & Operations …, 2017 - Elsevier
One of the most important health care services is emergency medical service as it plays a
vital role in saving people's lives and reducing the rate of mortality and morbidity. Over the …

Logistics for emergency medical service systems

M Reuter-Oppermann, PL van den Berg, JL Vile - Health Systems, 2017 - Taylor & Francis
Abstract Emergency Medical Service (EMS) systems worldwide are complex systems,
characterized by significant variation in service providers, care pathways, patient case-mix …

Simulation optimization for stochastic casualty collection point location and resource allocation problem in a mass casualty incident

KH Chang, TL Chen, FH Yang, TY Chang - European Journal of …, 2023 - Elsevier
After a severe disaster strikes, a large number of casualties in need of urgent treatment,
known as a mass casualty incident (MCI) event, arise from multiple disaster areas in a very …

A recursive simulation-optimization framework for the ambulance location and dispatching problem

V Bélanger, E Lanzarone, V Nicoletta, A Ruiz… - European Journal of …, 2020 - Elsevier
This study addresses the Ambulance Location and Dispatching Problem (ALDP), which
jointly determines the location of available ambulances and their dispatching policy. The …

Modeling a pre-hospital emergency medical service using hybrid simulation and a machine learning approach

D Olave-Rojas, S Nickel - Simulation Modelling Practice and Theory, 2021 - Elsevier
Healthcare is one of the most important disciplines to ensure life quality for human beings,
especially in unpredictable scenarios such as accidents, natural disasters, or terrorism. In …

Lagrangian dual decomposition for the ambulance relocation and routing considering stochastic demand with the truncated Poisson

YC Lee, YS Chen, AY Chen - Transportation research part B …, 2022 - Elsevier
Abstract The pre-hospital Emergency Medical Service (EMS) provides the critical care to the
ill or injured patients, and evaluates and manages those patients at scene before their …

Integrating the ambulance dispatching and relocation problems to maximize system's preparedness

AS Carvalho, ME Captivo, I Marques - European Journal of Operational …, 2020 - Elsevier
Abstract In the Emergency Medical Service (EMS) context, the decision-making process
plays a very important role since some decisions highly impact patients' health. This work …

A simulation and optimisation package for emergency medical services

S Ridler, AJ Mason, A Raith - European Journal of Operational Research, 2022 - Elsevier
Abstract Emergency Medical Service (EMS) providers make decisions such as selecting
ambulance station locations and ambulance dispatch policies; these decisions can be made …

An empirical comparison of relocation strategies in real-time ambulance fleet management

V Bélanger, Y Kergosien, A Ruiz, P Soriano - Computers & Industrial …, 2016 - Elsevier
In order to ensure an adequate service to the population, Emergency Medical Services
(EMS) rely on a given number of ambulances strategically located over the territory they …

Coverage, survivability or response time: A comparative study of performance statistics used in ambulance location models via simulation–optimization

MA Zaffar, HK Rajagopalan, C Saydam… - Operations research for …, 2016 - Elsevier
Rapid response to medical emergencies is one of the main goals of Emergency Medical
Service (EMS) systems. Ability to provide timely response is affected by fleet size and the …