Evidence map›Paper›PMID 37161017›Full record

ArticleScientific reports2023

Multi-criteria assignment problems for optimising the emergency medical services (EMS), considering non-homogeneous speciality of the emergency departments and EMS crews.

Mariusz Drabecki, Eugeniusz Toczyłowski, Krzysztof Pieńkosz, Grzegorz Honisz, Klaudia Kułak

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Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Mariusz DrabeckiInstitute of Control and Computation Engineering, Warsaw University of Technology, Warsaw, Poland. mariusz.drabecki.dokt@pw.edu.pl.
Eugeniusz ToczyłowskiInstitute of Control and Computation Engineering, Warsaw University of Technology, Warsaw, Poland.
Krzysztof PieńkoszInstitute of Control and Computation Engineering, Warsaw University of Technology, Warsaw, Poland.
Grzegorz HoniszSilesian Centre for Heart Deseases in Zabrze, Zabrze, Poland.
Klaudia KułakFaculty of Medicine, Lazarski University Warsaw, Warsaw, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dispatching of the EMS crews (ambulances) to awaiting patients and then directing the patients, that are already onboard, to appropriate Emergency Departments (ED), is a nontrivial decision problem. In many emergency medical systems it is handled by the Medical Dispatcher using various strategies-sometimes preferring the closest unit. However, applying a wrong strategy may result in transferring acute-state patients, who require very specialised medical aid, to low-speciality EDs with insufficient treatment capabilities. Then, they would need to be re-transferred to referential units, prolonging substantially the time to receive treatment. In some cases such a delay might make the treatment less effective or even impossible. In this work we propose two multi-criteria mathematical optimisation problems-the first one allows us to calculate the ambulance-to-patient assignment, the second one-to establish the patient-to-hospital assignment. These problems not only take the time-to-support criterion into consideration but also optimise for the speciality of care received by each patient. The ED dispatching problem proposed allows both for direct transfers of patients to referential units and for re-transferring them from non-referential EDs. The performance of the proposed approach is tested in simulations with real-life emergency cases from the NEMSIS data set and compared with classic assignment strategies. The tests showed the proposed approach is able to produce better and more fit-for-purpose dispatching results than other strategies tested. Additionally, we propose a framework for embedding the proposed optimisation problems in the current EMS/ED dispatching process.

Indexed as

Emergency Medical ServicesAmbulancesEmergency Service, HospitalHumans

Identifiers

PMID37161017
PMCPMC10170167

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.