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HAEP: Hospital Assignment for Emergency Patients in a Big City

机译:HAEP:大城市急诊患者的医院分配

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In the largely populated city of a developing country, the ambulance service usually sends an emergent patient to the available hospital with shortest pre-consultation delay. The problem is, a life-critical patient may encounter the lack of treatment resource, such as sickbed, in desired hospitals, and the delay to a next appropriate hospital would cause his death, because non-critical patients already occupied the resources. In the worst case, the service encountering a catastrophe may hold hundreds of people on their way to the hospital and require sickbeds be reserved in advance. In this paper, we propose a resource allocation to balance delay in sending patients to hospitals. We extend the scheme to consider sickbed reservation along the time scale by estimating from the past records in history. As a result, the occupancy is balanced in order to reduce the risk of life-critical patients being delayed. Then we develop an in-hospital waiting queue to keep serious patients waiting locally, when it costs more to reach another available hospital. Simulation results show the substantial improvement of our approach in average delay and number of failure-of-assignment.
机译:在发展中国家人口稠密的城市中,救护车服务通常会以最短的咨询前延误时间将急诊病人送往可用的医院。问题是,对生命至关重要的患者可能会在所需的医院中遇到诸如病床之类的治疗资源不足,而延误到下一家合适的医院会导致其死亡,因为非关键患者已经占用了资源。在最坏的情况下,遇到灾难的服务可能会导致数百人前往医院,并需要提前预留病床。在本文中,我们提出了一种资源分配方法,以平衡将患者送往医院时的延误。通过扩展历史记录中的过去记录,我们将计划扩展为考虑时间范围内的病床保留。结果,占用率是平衡的,以减少危及生命的患者的风险。然后,我们建立了院内等待队列,以使重症患者在当地等待,而这需要花更多的钱才能到达另一家医院。仿真结果表明,我们的方法在平均延迟和分配失败次数方面有了实质性的改进。

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