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Reducing ambulance response time using simulation: The case of Val-de-Marne department Emergency Medical service

机译:通过仿真减少救护车的响应时间:Val-de-Marne部门急诊服务

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The French Emergency Medical service, known as SAMU, is responsible for providing permanent phone support and dispatching the proper response for emergency requests. The response time required for an ambulance's arrival at the scene following a call is an important performance indicator in determining the quality of the SAMU system since this may be directly related to patient's survival. In this paper, discrete simulation techniques are used to model the SAMU of the Val-de-Marne department (France) in order to investigate several alternative configurations for potential improvements. Scenarios consist of adding more resources, relocating existing teams and reducing processing times in order to improve response time. We found that repositioning part of the existing teams into potential stations increased average percentage of calls covered within the 20-minutes criterion up to 4.8%. This improvement in coverage reaches 5.2% when reducing the regulation processing time by 20%.
机译:法国紧急医疗服务机构称为SAMU,负责提供永久性的电话支持,并为紧急请求分配适当的响应。救护车在呼叫后到达现场所需的响应时间是确定SAMU系统质量的重要性能指标,因为这可能与患者的生存直接相关。在本文中,离散仿真技术用于为Val-de-Marne部门(法国)的SAMU建模,以研究几种可能的改进方案。方案包括添加更多资源,重新安置现有团队并减少处理时间,以缩短响应时间。我们发现,将现有团队的一部分重新安置到潜在的驻地中,使20分钟标准内覆盖的呼叫的平均百分比提高了4.8%。当将法规处理时间减少20%时,覆盖率的提高达到5.2%。

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