HAEP: Hospital Assignment for Emergency Patients in a Big City
HAEP: Hospital Assignment for Emergency Patients in a Big City
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DOI：
10.1109/icccn.2015.7288416
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发表时间：
2015-10
期刊：
影响因子：
--
通讯作者：
Peng Liu;Biao Xu;Zhen Jiang;Jie Wu
中科院分区：
文献类型：
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作者：
Peng Liu;Biao Xu;Zhen Jiang;Jie Wu
在发展中国家人口众多的城市中，救护车服务通常以最短的咨询前延迟将紧急病人送到可用的医院。问题是，一个生命危急的病人可能会遇到缺乏治疗资源，如病床，在所需的医院，和延迟到下一个合适的医院将导致他的死亡，因为非危重病人已经占用了资源。在最坏的情况下，遇到灾难的服务可能会阻止数百人前往医院，并要求提前预订病床。在本文中，我们提出了一个资源分配，以平衡延迟送病人到医院。通过对历史上的历史记录进行估计，我们将该方案推广到考虑沿着时间尺度的病床预留。因此，占用率是平衡的，以减少生命危急的病人被延误的风险。然后，我们开发了一个医院内的等候队列，以保持严重的病人在当地等待，当它的成本更高，以达到另一个可用的医院。仿真结果表明，我们的方法在平均延迟和分配失败的数量显着改善。
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.