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Modelling lung cancer diagnostic pathways using discrete event simulation
Journal of Simulation ( IF 1.3 ) Pub Date : 2021-08-02 , DOI: 10.1080/17477778.2021.1956866
Tracey England 1 , Paul Harper 1 , Tom Crosby 2 , Daniel Gartner 1 , Edilson F Arruda 1, 3 , Kieran Foley 2 , Ian Williamson 4
Affiliation  

ABSTRACT

The United Kingdom has one of the poorest lung cancer survival rates in Europe. In this study, to help design and evaluate a single lung cancer pathway (SCP) for Wales, existing diagnostic pathways and processes have been mapped and then modelled with a discrete event simulation. The validated models have been used to provide key performance indicators and to examine different diagnostic testing strategies. Under the current diagnostic pathways, the mean time to treatment was 72 days for surgery patients, 56 days for chemotherapy patients, and 61 days for radiotherapy patients. Our research demonstrated that by ensuring that the patient attends their first outpatient appointment within 7 days and streamlining the diagnostic tests would have the potential to remove approximately 11 days from the current lung cancer pathway resulting in a 21% increase in patients receiving treatment within the Welsh Government set target of 62 days.



中文翻译:


使用离散事件模拟对肺癌诊断路径进行建模


 抽象的


英国是欧洲肺癌存活率最差的国家之一。在这项研究中,为了帮助设计和评估威尔士的单一肺癌途径 (SCP),绘制了现有的诊断途径和过程,然后使用离散事件模拟进行建模。经过验证的模型已用于提供关键性能指标并检查不同的诊断测试策略。根据目前的诊断路径,手术患者的平均治疗时间为72天,化疗患者的平均治疗时间为56天,放疗患者的平均治疗时间为61天。我们的研究表明,通过确保患者在 7 天内第一次门诊就诊并简化诊断测试,有可能将当前的肺癌路径缩短大约 11 天,从而使威尔士境内接受治疗的患者数量增加 21%政府设定的目标是 62 天。

更新日期:2021-08-02
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