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首页> 外文期刊>Radiation Oncology Journal >Categorizing accident sequences in the external radiotherapy for risk analysis
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Categorizing accident sequences in the external radiotherapy for risk analysis

机译:在外部放射治疗中对事故序列进行分类以进行风险分析

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摘要

Purpose This study identifies accident sequences from the past accidents in order to help the risk analysis application to the external radiotherapy. Materials and Methods This study reviews 59 accidental cases in two retrospective safety analyses that have collected the incidents in the external radiotherapy extensively. Two accident analysis reports that accumulated past incidents are investigated to identify accident sequences including initiating events, failure of safety measures, and consequences. This study classifies the accidents by the treatments stages and sources of errors for initiating events, types of failures in the safety measures, and types of undesirable consequences and the number of affected patients. Then, the accident sequences are grouped into several categories on the basis of similarity of progression. As a result, these cases can be categorized into 14 groups of accident sequence. Results The result indicates that risk analysis needs to pay attention to not only the planning stage, but also the calibration stage that is committed prior to the main treatment process. It also shows that human error is the largest contributor to initiating events as well as to the failure of safety measures. This study also illustrates an event tree analysis for an accident sequence initiated in the calibration. Conclusion This study is expected to provide sights into the accident sequences for the prospective risk analysis through the review of experiences.
机译:目的本研究确定过去发生的事故的事故顺序,以帮助将风险分析应用于外部放射治疗。材料和方法这项研究在两项回顾性安全分析中回顾了59例意外病例,这些回顾性分析广​​泛收集了外部放射治疗中的事件。调查了两个累积了过去事件的事故分析报告,以识别事故序列,包括启动事件,安全措施失败和后果。这项研究按治疗阶段和引发事件的错误源,安全措施失败的类型以及不良后果的类型和受影响患者的数量对事故进行分类。然后,根据进展的相似性将事故序列分为几类。结果,这些情况可以分为14组事故序列。结果结果表明,风险分析不仅需要关注计划阶段,还需要关注在主要治疗过程之前进行的校准阶段。它还表明,人为错误是引发事件以及安全措施失败的最大原因。这项研究还说明了在校准中启动的事故序列的事件树分析。结论预期该研究将通过回顾经验来提供事故序列的视角,以进行前瞻性风险分析。

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