Department of Radiation Oncology, MD Anderson Cancer Center at Cooper University Healthcare, Camden, NJ 08103.
Department of Radiation Oncology, MD Anderson Cancer Center at Cooper University Healthcare, Camden, NJ 08103.
Med Dosim. 2024;49(2):139-142. doi: 10.1016/j.meddos.2023.10.003. Epub 2023 Nov 14.
The reporting of errors resulting in dose deviations are well-studied. Less studied is the amount of inconsequential errors that will not harm the patient but could lead to inefficiency. This paper reports an institutional effort to quantify and reduce these less significant errors. Dosimetry items discovered during physicist plan/record and verify (R&V) check prior to treatment were recorded in a shared document and called Therapy Anomaly Gathering System (THANGS) and individual items were called a "thang." Items were categorized to 1 of 4 types: Treatment Plan, Plan Document, R&V, and Secondary MU. The aggregate numbers were presented to the dosimetry staff at regular staff meetings. It was emphasized to the staff that this was a Quality Improvement (QI) study and would not be used punitively. Thangs were tracked over a 4-year period. In Q1 of year 1 of the study, the average number of errors identified was 179/month. This was reduced to 114/month by Q4 of year 1 and 68/month by the end of year 4, a 62% reduction. The number of errors/plan in Q1 Year 1 was 1.25, and that was reduced by Q4 Year 4 to 0.4, a 68% reduction. The percentage of errors by type did not vary much over the 4 years. By far, R&V errors were the most common, and QI efforts were primarily aimed at them. We have developed a simple method to identify areas in dosimetric work that are vulnerable to minor errors and, through consistent reminders, drastically reduce them. This leads to a seamless throughput for a given plan ultimately resulting in improved physics, therapist, and most importantly patient satisfaction.
错误报告导致剂量偏差的研究已经很充分。研究较少的是那些不会对患者造成伤害但可能导致效率低下的无足轻重的错误数量。本文报告了机构为量化和减少这些不太重要的错误所做的努力。在治疗前进行物理学家计划/记录和验证(R&V)检查期间发现的剂量学项目被记录在一个共享文档中,并称为治疗异常收集系统(THANGS),单个项目称为“thang”。项目被分为 4 种类型之一:治疗计划、计划文件、R&V 和次要 MU。汇总数据在定期员工会议上提交给剂量学工作人员。向工作人员强调,这是一项质量改进(QI)研究,不会进行惩罚性处理。thangs 在 4 年期间进行了跟踪。在研究的第 1 年第 1 季度,每月发现的错误平均数量为 179 个。到第 1 年第 4 季度减少到 114 个,到第 4 年年底减少到 68 个,减少了 62%。第 1 年第 1 季度每个计划的错误数量为 1.25,到第 4 年第 4 季度减少到 0.4,减少了 68%。4 年来,每种类型的错误比例变化不大。到目前为止,R&V 错误最为常见,QI 工作主要针对这些错误。我们已经开发出一种简单的方法来识别剂量学工作中容易出现小错误的领域,并通过持续提醒,大大减少这些错误。这导致给定计划的流程畅通无阻,最终提高了物理师、治疗师的工作效率,最重要的是提高了患者满意度。