Lee Seokcheon
Purdue University, West Lafayette, IN, USA.
Health Care Manag Sci. 2017 Mar;20(1):105-114. doi: 10.1007/s10729-015-9340-4. Epub 2015 Sep 15.
Response time in emergency medical services (EMS) is defined as the interval for an ambulance to arrive the scene after receipt of a 911 call. When several ambulances are available upon the receipt of a new call, a decision of selecting an ambulance has to be made in an effort to reduce response time. Dispatching the closest unit available is commonly used in practice; however, recently the Preparedness policy was designed that is in a simplistic form yet being capable of securing a long-term efficiency. This research aims to improve the Preparedness policy, resolving several critical issues inherent in the current form of the policy. The new Preparedness policy incorporates a new metric of preparedness based on the notion of centrality and involves a tuning parameter, weight on preparedness, which has to be appropriately chosen according to operational scenario. Computational experiment shows that the new policy significantly improves the former policy robustly in various scenarios.
紧急医疗服务(EMS)中的响应时间定义为救护车在接到911呼叫后到达现场的间隔时间。当收到新呼叫时有几辆救护车可供使用时,必须做出选择救护车的决定,以努力缩短响应时间。在实践中通常采用派遣最近可用的单位;然而,最近设计了一种准备政策,其形式简单但能够确保长期效率。本研究旨在改进准备政策,解决当前政策形式中固有的几个关键问题。新的准备政策基于中心性概念纳入了一个新的准备指标,并涉及一个调整参数,即准备权重,必须根据操作场景适当选择。计算实验表明,新政策在各种场景下都能显著稳健地改进原政策。