sim911 – ein Simulationsprogramm optimiert das Rettungswesen

Stämpfli, Adrian; Strauss, Christoph

doi:10.1007/978-3-662-56634-3_12

Cited by 1 publication

(3 citation statements)

References 6 publications

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“…We also use our simulations on a strategic level to estimate the effects of different policies, e.g., the benefit of cooperation across borders. As shown in the previous examples, the process of simulation and discussions with different stakeholders optimize efficiency and effectiveness of existing systems in the long term, as shown in [ 29 , 30 ]. We want to emphasize that RTCR is based solely on ED’s information (“prior RTCR”), and diagnoses/priorities might be wrong when looking back.…”

Section: Discussionmentioning

confidence: 99%

“…[ 14 ], later continued by [ 15 ], developed a simulation tool which has now been applied to the whole of Bavaria for more than 10 years. This model is still in use and similar to what we apply in Switzerland [ 16 ]. Furthermore, ref.…”

Section: Methodsmentioning

confidence: 99%

“…The external validity of our DES is given, as the method has been applied in many different areas [ 12 , 13 , 14 , 15 , 16 , 17 ].…”

Section: Methodsmentioning

confidence: 99%

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Optimizing Emergency Medical Service Structures Using a Rule-Based Discrete Event Simulation—A Practitioner’s Point of View

Strauss¹,

Bildstein

Efe

et al. 2021

IJERPH

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Many studies in research deal with optimizing emergency medical services (EMS) on both the operational and the strategic level. It is the purpose of this method-oriented article to explain the major features of “rule-based discrete event simulation” (rule-based DES), which we developed independently in Germany and Switzerland. Our rule-based DES addresses questions concerning the location and relocation of ambulances, dispatching and routing policies, and EMS interplay with other players in prehospital care. We highlight three typical use cases from a practitioner’s perspective and go into different countries’ peculiarities. We show how research results are applied to EMS and healthcare organizations to simulate and optimize specific regions in Germany and Switzerland with their strong federal structures. The rule-based DES serves as basis for decision support to improve regional emergency services’ efficiency without increasing cost. Finally, all simulation-based methods suggest normative solutions and optimize EMS’ performance within given healthcare system structures. We argue that interactions between EMS, emergency departments, and public healthcare agencies are crucial to further improving effectiveness, efficiency, and quality.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%