城市规模救护车调度中医院策略的建模
Modelling Hospital Strategies in City-Scale Ambulance Dispatching
摘要：
救护车调度流程的优化对于需要早期治疗的患者具有重要意义。然而，问题的动态救护车重新部署目的地医院的选择很少被调查。本文提出了一种方法来建模和模拟救护车调度过程中的多智能体医疗环境中的大城市。所提出的方法是基于使用耦合博弈论（GT）的方法来确定医院的战略（考虑医院作为球员在一个非合作的游戏）和执行离散事件模拟（DES）的病人交付和提供医疗服务，以评估救护车调度（目标医院的选择）。假设集体性质的决定对病人的交付，该方法评估医院的不同行为对系统性能的影响，可能进一步优化这种性能。该方法是通过一系列的情况下，从一个简化的一维模型，并进行耦合的二维模型和现实世界的应用程序进行研究。该研究考虑了在目标医院向ACS患者派遣救护车进行PCI的问题。来自圣彼得堡（俄罗斯）的数据的一个真实世界的案例研究进行了分析，显示出更好的一致性的全球特征（死亡率）的医疗保健系统与所提出的方法被应用于发现代理人的不同行为。
英文摘要：
The optimisation in the ambulance dispatching process is significant for patients who need early treatments. However, the problem of dynamic ambulance redeployment for destination hospital selection has rarely been investigated. The paper proposes an approach to model and simulate the ambulance dispatching process in multi-agents healthcare environments of large cities. The proposed approach is based on using the coupled game-theoretic (GT) approach to identify hospital strategies (considering hospitals as players within a non-cooperative game) and performing discrete-event simulation (DES) of patient delivery and provision of healthcare services to evaluate ambulance dispatching (selection of target hospital). Assuming the collective nature of decisions on patient delivery, the approach assesses the influence of the diverse behaviours of hospitals on system performance with possible further optimisation of this performance. The approach is studied through a series of cases starting with a simplified 1D model and proceeding with a coupled 2D model and real-world application. The study considers the problem of dispatching ambulances to patients with the ACS directed to the PCI in the target hospital. A real-world case study of data from Saint Petersburg (Russia) is analysed showing the better conformity of the global characteristics (mortality rate) of the healthcare system with the proposed approach being applied to discovering the agents' diverse behaviour.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
