Suppr超能文献

使用离散事件模拟对肺癌诊断路径进行建模。

Modelling lung cancer diagnostic pathways using discrete event simulation.

作者信息

England Tracey, Harper Paul, Crosby Tom, Gartner Daniel, Arruda Edilson F, Foley Kieran, Williamson Ian

机构信息

School of Mathematics, Cardiff University, Cardiff, UK.

Velindre Cancer Centre, Cardiff, UK.

出版信息

J Simul. 2021 Aug 2;17(1):94-104. doi: 10.1080/17477778.2021.1956866. eCollection 2023.

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.

摘要

英国是欧洲肺癌生存率最低的国家之一。在本研究中,为帮助设计和评估威尔士的单一肺癌诊疗路径(SCP),我们绘制了现有的诊断路径和流程,然后用离散事件模拟进行建模。经验证的模型已用于提供关键绩效指标,并检验不同的诊断测试策略。在当前的诊断路径下,手术患者的平均治疗时间为72天,化疗患者为56天,放疗患者为61天。我们的研究表明,确保患者在7天内进行首次门诊预约并简化诊断测试,有可能从当前肺癌诊疗路径中减少约11天,从而使在威尔士政府设定的62天目标内接受治疗的患者增加21%。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a984/9901409/419d35de8c84/TJSM_A_1956866_F0001_OC.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验