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A practical implementation of risk management for the clinical introduction of online adaptive Magnetic Resonance-guided radiotherapy

机译:在线自适应磁共振引导放射疗法临床引入的风险管理实际实施

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Background and Purpose The clinical introduction of on-table adaptive radiotherapy with Magnetic Resonance (MR)-guided linear accelerators (Linacs) yields new challenges and potential risks. Since the adapted plan is created within a highly interdisciplinary workflow with the patient in treatment position, time pressure or erroneous communication may lead to various possibly hazardous situations. To identify risks and implement a safe workflow, a proactive risk analysis has been conducted. Materials and Methods A process failure mode, effects and criticality analysis (P-FMECA) was performed within a group of radiation therapy technologists, physicians and physicists together with an external moderator. The workflow for on-table adaptive MR-guided treatments was defined and for each step potentially hazardous situations were identified. The risks were evaluated within the team in order to homogenize risk assessment. The team elaborated and discussed possible mitigation strategies and carried out their implementation. Results In total, 89 risks were identified for the entire MR-guided online adaptive workflow. After mitigation, all risks could be minimized to an acceptable level. Overall, the need for a standardized workflow, clear-defined protocols together with the need for checklists to ensure protocol adherence were identified among the most important mitigation measures. Moreover, additional quality assurance processes and automated plan checks were developed. Conclusions Despite additional workload and beyond the fulfilment of legal requirements, execution of the P-FMECA within an interdisciplinary team helped all involved occupational groups to develop and foster an open culture of safety and to ensure a consensus for an efficient and safe online adaptive radiotherapy workflow.
机译:背景和目的临床引入磁共振(MR)导通的线性加速器(LINACS)的临床介绍产生了新的挑战和潜在的风险。由于适应的计划在高度互学科的工作流程中与患者在治疗位置,时间压力或错误的通信可能导致各种可能有害的情况。为识别风险并实施安全工作流程,已经进行了主动风险分析。材料和方法在一组放射治疗技术人员,医生和物理学家以及外部主持人的一组放射治疗技术人员,医生和物理学中进行过程失败模式,效果和临界分析(P-FMECA)。定义了针对表自适应MR引导治疗的工作流程,并针对每个步骤确定了潜在的危险情况。风险在团队中进行评估,以使风险评估均匀化。该团队阐述并讨论了可能的缓解策略并进行了实施。结果总计,为整个MR引导的在线自适应工作流程确定了89个风险。缓解后,所有风险都可以最大限度地减少到可接受的水平。总的来说,对规范化工作流程的需求,明确定义的协议以及需要清单的需要,以确保最重要的缓解措施之间确定了协议遵守。此外,开发了额外的质量保证程序和自动化计划检查。结论尽管额外的工作量和超出了法律要求的实现,但跨学科团队内的P-FMECA的执行有助于所有参与的职业集团开发和培养开放的安全文化,并确保为高效和安全的在线自适应放射治疗工作流程共识。

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