创伤医院网络扩张的随机编程模型,考虑到农村社区和COVID-19
Eduardo Pérez1, Alakshendra Joshi2, Sabhasachi Saha2
1Ingram School of Engineering, Texas State University, 601 University Drive, 78666, San Marcos, TX, USA. eduardopr@txstate.edu.
Health care management science
|October 4, 2025
概括
这项研究开发了一个模型,以优化创伤护理中心的位置,改善农村人口的访问. 这些发现提高了对关键医疗保健服务的公平获取,特别是在紧急情况下.
科学领域:
- 医疗保健管理的管理
- 运营研究 运营研究
- 公共卫生 公共卫生
背景情况:
- 创伤护理的准入至关重要,特别是在像COVID-19流行病这样的公共卫生危机期间.
- 现有的创伤系统往往缺乏公平的地理分布,不成比例地影响农村人口.
- 传统的创伤中心指定侧重于个体设施,而不是综合系统配置.
研究的目的:
- 为扩大创伤护理网络开发一个地理空间优化模型.
- 确定新的创伤护理中心的最佳位置,以最大限度地提高可访问性和资源效率.
- 解决农村和城市人口在创伤护理获取方面的差异.
主要方法:
- 开发一个两阶段的随机优化模型.
- 对受伤人口分布的地理空间分析.
- 在一个定义的地理区域中模拟创伤网络扩张.
主要成果:
- 该模型显著改善了创伤护理覆盖范围,特别是在农村县.
- 根据受伤的地理分布,推新创伤中心的位置.
- 证明了对关键医疗保健服务的公平获取.
结论:
- 开发的随机优化模型有效地提高了创伤护理网络的可访问性.
- 优化创伤中心的位置可以改善资源配置和患者的治疗结果.
- 该模型为创造更公平的创伤护理系统提供了一个有价值的工具.
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