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Coverage based empirical modelling for EMS rescue system of Karachi (Pakistan)

机译：基于覆盖率的卡拉奇（巴基斯坦）EMS救援系统的经验模型

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Emergency Medical Services (EMS) is a major source of handling emergencies. Most of the emergencies have one patient. The routine systems are not able to respond to emergencies in which there are many casualties. The mass-casualty disaster response and EMS services plans have become more popular in case of ordinary disasters and terrorist attacks over the past decades. But it might not be possible to construct such plans due to limited resources and budget. There may be such more factors including the number of ambulances deployed, their position/location, and dispatching strategies that affect the EMS system. One more factor is the variation in number of vacant ambulances at different time of the day. In order to sustain coverage, it is necessary to locate ambulances at the station in functional states. In this paper we proposed an optimization model dealing with EMS to assist the medical treatment in the region of Karachi, Pakistan (by using two years data from the year 2010 to 2011). We also conducted and estimated an empirical analysis of ambulance response times, travel times to a hospital and the time spent at the hospital. Google maps are used to facilitate EMS’s provider to view and analyse the entire scene of the accident with the help of GPS or other sources of information. Physical simulation and results are used as part of the planning process, which shows the integrity and efficiency of the time threshold based on the acuity of the patient at the time when the 15 call is made (Rescue 15).
机译：紧急医疗服务（EMS）是处理紧急情况的主要来源。大多数紧急情况只有一名患者。常规系统无法应对有大量人员伤亡的紧急情况。在过去的几十年中，在发生普通灾难和恐怖袭击的情况下，大规模伤亡灾难响应和EMS服务计划变得越来越受欢迎。但是由于资源和预算有限，可能无法构建这样的计划。可能还有更多因素，包括部署的救护车数量，其位置/位置以及影响EMS系统的调度策略。另一个因素是一天中不同时间的空置救护车数量的变化。为了维持覆盖范围，有必要将救护车放置在功能状态下的车站。在本文中，我们提出了一个针对EMS的优化模型，以协助巴基斯坦卡拉奇地区的医疗（通过使用2010年至2011年的两年数据）。我们还对救护车的响应时间，前往医院的时间以及在医院所花费的时间进行了实证分析。 Google地图可帮助EMS提供商借助GPS或其他信息源查看和分析事故的整个现场。物理模拟和结果被用作计划过程的一部分，该过程根据呼叫15时患者的敏锐度显示时间阈值的完整性和效率（救援15）。

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