Insights from a Decade of Optimizing Emergency Medical Services Across Three Major Regions in Switzerland

Prehospital care, and especially emergency medical services (EMSs), are facing an increasing demand, while experiencing financial pressure. Strategies aimed at improving prehospital care management emphasize the efficient utilization of resources, but often overlook the long-term implications for th...

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Main Authors: Christoph Strauss, Michael Schmid, Daniel Kliem, Martin Müller
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Emergency Care and Medicine
Subjects:
Online Access:https://www.mdpi.com/2813-7914/1/4/36
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author Christoph Strauss
Michael Schmid
Daniel Kliem
Martin Müller
author_facet Christoph Strauss
Michael Schmid
Daniel Kliem
Martin Müller
author_sort Christoph Strauss
collection DOAJ
description Prehospital care, and especially emergency medical services (EMSs), are facing an increasing demand, while experiencing financial pressure. Strategies aimed at improving prehospital care management emphasize the efficient utilization of resources, but often overlook the long-term implications for the prehospital healthcare system, encompassing emergency medical services, emergency departments, and healthcare authorities. This paper draws on almost ten years of improvement in EMS’ key performance indicators such as response time or overtime in Switzerland, using Discrete Event Simulation. Three representative simulation studies are used to reflect on the optimization potential of alternative bases and rosters, methodological limitations, and the uptake of the derived recommendations. The results demonstrate that EMSs’ efficiency gains in resource utilization increasingly come into conflict with emergency departments’ and healthcare authorities’ policies, indicating a need to enrich Discrete Event Simulation with a systemic perspective. A new methodology that conceptualizes long-term prehospital care planning as an interdisciplinary and iterative process utilizing a novel combination of System Dynamics and Discrete Event Simulation is proposed.
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spelling doaj-art-c20f51582c164ad48463eea584b3f45a2025-01-24T13:29:55ZengMDPI AGEmergency Care and Medicine2813-79142024-10-011436838110.3390/ecm1040036Insights from a Decade of Optimizing Emergency Medical Services Across Three Major Regions in SwitzerlandChristoph Strauss0Michael Schmid1Daniel Kliem2Martin Müller3Institute for Modeling and Simulation, Eastern Switzerland University of Applied Sciences, 9000 St. Gallen, SwitzerlandInstitute for Modeling and Simulation, Eastern Switzerland University of Applied Sciences, 9000 St. Gallen, SwitzerlandInstitute for Modeling and Simulation, Eastern Switzerland University of Applied Sciences, 9000 St. Gallen, SwitzerlandDepartment of Emergency Medicine, Inselspital, Bern University Hospital, University of Bern, 3010 Bern, SwitzerlandPrehospital care, and especially emergency medical services (EMSs), are facing an increasing demand, while experiencing financial pressure. Strategies aimed at improving prehospital care management emphasize the efficient utilization of resources, but often overlook the long-term implications for the prehospital healthcare system, encompassing emergency medical services, emergency departments, and healthcare authorities. This paper draws on almost ten years of improvement in EMS’ key performance indicators such as response time or overtime in Switzerland, using Discrete Event Simulation. Three representative simulation studies are used to reflect on the optimization potential of alternative bases and rosters, methodological limitations, and the uptake of the derived recommendations. The results demonstrate that EMSs’ efficiency gains in resource utilization increasingly come into conflict with emergency departments’ and healthcare authorities’ policies, indicating a need to enrich Discrete Event Simulation with a systemic perspective. A new methodology that conceptualizes long-term prehospital care planning as an interdisciplinary and iterative process utilizing a novel combination of System Dynamics and Discrete Event Simulation is proposed.https://www.mdpi.com/2813-7914/1/4/36prehospital emergency carecomputer simulationresponse timeemergency medical dispatchdiscrete event simulation
spellingShingle Christoph Strauss
Michael Schmid
Daniel Kliem
Martin Müller
Insights from a Decade of Optimizing Emergency Medical Services Across Three Major Regions in Switzerland
Emergency Care and Medicine
prehospital emergency care
computer simulation
response time
emergency medical dispatch
discrete event simulation
title Insights from a Decade of Optimizing Emergency Medical Services Across Three Major Regions in Switzerland
title_full Insights from a Decade of Optimizing Emergency Medical Services Across Three Major Regions in Switzerland
title_fullStr Insights from a Decade of Optimizing Emergency Medical Services Across Three Major Regions in Switzerland
title_full_unstemmed Insights from a Decade of Optimizing Emergency Medical Services Across Three Major Regions in Switzerland
title_short Insights from a Decade of Optimizing Emergency Medical Services Across Three Major Regions in Switzerland
title_sort insights from a decade of optimizing emergency medical services across three major regions in switzerland
topic prehospital emergency care
computer simulation
response time
emergency medical dispatch
discrete event simulation
url https://www.mdpi.com/2813-7914/1/4/36
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AT danielkliem insightsfromadecadeofoptimizingemergencymedicalservicesacrossthreemajorregionsinswitzerland
AT martinmuller insightsfromadecadeofoptimizingemergencymedicalservicesacrossthreemajorregionsinswitzerland