Modeling uncertain task compliance in dispatch of volunteers to out-of-hospital cardiac arrest patients

Modeling uncertain task compliance in dispatch of volunteers to out-of-hospital cardiac arrest patients
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对向院外心脏骤停患者派遣志愿者时的不确定任务依从性进行建模

DOI:
10.1016/j.cie.2021.107515
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发表时间:
2021
期刊:
Comput. Ind. Eng.
影响因子:
--
通讯作者:
Vangelis Angelakis
Vangelis Angelakis
中科院分区:
--
文献类型:
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作者:
Niki Matinrad;T. Granberg;Vangelis Angelakis

文献摘要

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在瑞典、意大利、瑞士和荷兰等国家,存在使用移动电话向院外心脏骤停患者派遣志愿者的项目。一旦报告了一例流行性出血热病例,就会向患者附近的登记志愿者的移动电话发送通知。这些项目大多使用静态调度方法来确定哪些志愿者应该直接送到患者身边,哪些志愿者应该拿起自动体外除颤器(AED)。然而,这样的方案没有考虑与这些任务分配决策相关的不确定性(例如,志愿者是否会按照指示行事,或者做其他事情)。在本文中,我们提出了一种优化的任务分配和调度方法,该方法考虑了志愿者在分配任务后所采取的行动的不确定性。然后,我们将我们的方法的结果与瑞典一个正在进行的移动电话志愿者调度项目中使用的静态调度方法的结果进行了比较,并用仿真进行了验证。此外,我们还对几个参数进行了灵敏度分析,以考察它们对所提方法性能的影响。对比结果表明,本文提出的方法有助于提高肝细胞癌患者的存活率。
In countries such as Sweden, Italy, Switzerland, and the Netherlands, projects in which volunteers are dispatched to out-of-hospital cardiac arrest (OHCA) patients with the use of mobile phones exist. Once an OHCA case is reported, a notification is sent to the mobile phones of registered volunteers that are in the vicinity of the patient. These projects mostly use static dispatch methods to determine which volunteers should be sent directly to the patient and which ones should pick up an automatic external defibrillator (AED). However, such schemes do not consider uncertainties associated with these task assignment decisions (e.g., if volunteers will do as instructed, or do something else). In this paper, we propose a method for optimized task assignment and dispatch of volunteers to OHCA patients that considers the uncertainty related to volunteers’ actions once assigned a task. We then compare the results of our method to those of a static dispatch method used in an ongoing mobile phone volunteer dispatch project in Sweden and validate them using simulation. Furthermore, we perform a sensitivity analysis on several parameters to investigate their effect on the performance of the proposed method. With the comparative results we show that the proposed method may help increase the survivability of OHCA patients.