Reducing disparities in large-scale emergency medical service systems

Toro-Díaz, Hector; Mayorga, Marı́a E.; McLay, Laura A.; Rajagopalan, Hari; Saydam, Cem

doi:10.1057/jors.2014.83

Cited by 39 publications

(19 citation statements)

References 47 publications

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“…To help alleviate this issue, future work can be focused on using an available approximation method or developing a new one, to solve the hypercube model. The approximation method could be used within the metaheuristic optimization framework proposed in this paper, speeding up the computation time, which will allow us to tackle bigger instances (Toro‐Díaz et al., ). Nonetheless, the Hanover case study that we have solved is a real case study with more than a 120 demand zones accounting for about 100,000 individuals, and the computation time was reasonable.…”

Section: Discussionmentioning

confidence: 99%

Identifying trade‐offs in equity and efficiency for simultaneously optimizing location and multipriority dispatch of ambulances

Enayati

Mayorga

Toro-Díaz

et al. 2018

Int Trans Operational Res

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The role of emergency medical service (EMS) systems is to provide acute care and possibly transportation to health care facilities to patients experiencing medical emergencies. Since EMS is a public service, it is natural for the community to expect equitable service from these systems; however, there is not a unique agreement on how to measure equity. Most EMS planning literature focuses solely on measures of efficiency, such as minimizing average response time. Solutions based on optimizing efficiency measures alone can be unacceptable when they are achieved at the expense of some players. Such trade‐offs can be more crucial when it comes to high‐priority emergencies. We provide a multicriteria optimization approach aimed at identifying good solutions for several equity and efficiency measures together, based on a joint modeling approach for location and dispatching policy decisions, while considering multiple levels of call priority. We apply our approach to a real‐world data set. We show that the joint approach provides better solutions than using the common assignment of the closest available ambulance, in particular for the equity criteria. We quantify the trade‐offs between different performance measures, and provide Pareto‐efficient solutions. The proposed joint optimization approach can be used to gain insight about the implicit balance between common efficiency measures and discussed equity criteria, hence providing better information to policy makers and EMS system administrators.

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Section: Discussionmentioning

confidence: 99%

Identifying trade‐offs in equity and efficiency for simultaneously optimizing location and multipriority dispatch of ambulances

Enayati

Mayorga

Toro-Díaz

et al. 2018

Int Trans Operational Res

Self Cite

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“…• Vehicle location update (lines [28][29][30][31]. The locations of travelling vehi- Discussions with the LAS revealed that such an assumption is awed for a busy EMS.…”

Section: Simulation Modelmentioning

confidence: 99%

A simulation model to enable the optimization of ambulance fleet allocation and base station location for increased patient survival

McCormack

Coates

2015

European Journal of Operational Research

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(2015) 'A simulation model to enable the optimization of ambulance eet allocation and base station location for increased patient survival.', European journal of operational research., 247 (1). pp. 294-309. Further information on publisher's website:http://dx.doi.org/10.1016/j.ejor.2015.05.040Publisher's copyright statement: NOTICE: this is the author's version of a work that was accepted for publication in European Journal of Operational Research. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reected in this document. Changes may have been made to this work since it was submitted for publication. A denitive version was subsequently published in European Journal of Operational Research, 247, 1, 2015Research, 247, 1, , 10.1016Research, 247, 1, /j.ejor.2015 Additional information: Use policyThe full-text may be used and/or reproduced, and given to third parties in any format or medium, without prior permission or charge, for personal research or study, educational, or not-for-prot purposes provided that:• a full bibliographic reference is made to the original source • a link is made to the metadata record in DRO • the full-text is not changed in any way The full-text must not be sold in any format or medium without the formal permission of the copyright holders.Please consult the full DRO policy for further details. further improved survival when its location and resourcing were optimized for key periods of service. Also, the removal of a base station from the system was found to have minimal impact on survival probability when the selected station and resourcing were optimized simultaneously.

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“…The Gini coefficient, together with the squared coefficient of variation [24], has also been used by Toro-Diaz et al [25] to measure equity among servers. Here, it evaluates the relative differences among the workload of different stations obtained through the approximation procedure of Budge et al [26].…”

Section: Incorporating Equitymentioning

confidence: 99%

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

Aringhieri

Bruni

Khodaparasti

et al. 2017

Computers & Operations Research

251

129

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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 last years, many review papers have discussed emergency medical services (EMS) location problems, however, only few review papers consider the full range of EMS systems. This review paper tries to fill this gap. Our review introduces the concept of emergency care pathway following the current trend in health care systems, i.e., shifting the central role from health care providers to patients. Considering the emergency care pathway, we provide a broad literature review and analysis in order to identify emerging challenges for future research.

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Reducing disparities in large-scale emergency medical service systems

Cited by 39 publications

References 47 publications

Identifying trade‐offs in equity and efficiency for simultaneously optimizing location and multipriority dispatch of ambulances

Identifying trade‐offs in equity and efficiency for simultaneously optimizing location and multipriority dispatch of ambulances

A simulation model to enable the optimization of ambulance fleet allocation and base station location for increased patient survival

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

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