应急救护车的放置地点:使用具有实际呼叫数据的最大容量覆盖位置模型
Soheil Hashtarkhani1, Stephen A Matthews2, Ping Yin3
1Center for Biomedical Informatics, Department of Pediatrics, College of Medicine, University of Tennessee Health Science Center, Memphis, TN. S.Hashtarkhani@gmail.com.
Geospatial health
|July 20, 2023
概括
这项研究使用了GIS和优化来改善伊朗的紧急医疗服务 (EMS) 覆盖范围. 移动救护车将覆盖率提高到75%,同时增加新车辆和车站达到84%的呼叫.
科学领域:
- 运营研究 运营研究
- 地理信息系统 (GIS) 是指地理信息系统.
- 公共卫生管理 公共卫生管理
背景情况:
- 有效的紧急医疗服务 (EMS) 对于及时获得医疗保健至关重要.
- 优化救护车部署对于最大化覆盖范围和响应时间至关重要.
- 地理信息系统 (GIS) 为医疗保健规划中的空间分析提供了强大的工具.
研究的目的:
- 提高伊朗东北部一个县的紧急医疗服务 (EMS) 覆盖率.
- 将GIS与数学优化集成在一起,以改善EMS资源配置.
- 评估救护车搬迁和新站分配对服务覆盖范围的影响.
主要方法:
- 分析一年的EMS呼叫数据以确定需求位置.
- 使用混合整数线性编程制定最大覆盖位置问题 (MCLP).
- 对EMS车辆实施容量值约束和服务水平约束.
- 开发两个场景:使用候选地点搬迁救护车和分配新的救护车.
- 使用CPLEX优化器来解决数学模型.
主要成果:
- 移动模式将5分钟标准内的呼叫比例从69%提高到75%.
- 该分配模型增加了10辆车和8个新站,预计覆盖率达到总通话的84%.
- 这两种模型都证明了整合GIS和优化EMS规划的有效性.
结论:
- 将GIS与优化技术相结合是有效管理医疗保健资源的有希望的方法.
- 战略转移和分配EMS资源可以显著改善响应时间和覆盖范围.
- 该方法提供了一个数据驱动的框架,用于在资源有限的环境中增强紧急医疗服务.
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