AAPM WGPE报告394:模拟错误训练用于物理计划和图表审查
Perry B Johnson1,2, Leah Schubert3, Grace Gwe-Ya Kim4
1Department of Radiation Oncology, University of Florida College of Medicine, Gainesville, Florida, USA.
Medical physics
|April 8, 2024
概括
模拟的错误训练数据集被开发出来,以帮助医学物理学家练习计划和图表审查,改善临床错误的检测. 这种可访问的工具增强了辐射瘤学方面的培训和绩效评估.
科学领域:
- 医学物理 医学物理
- 辐射瘤学 辐射瘤学
- 医疗成像医学成像
背景情况:
- 模拟错误训练对于在物理计划和图表审查等低发生场景中的错误检测至关重要.
- 物理学家可以从模拟的危险错误中学习,以改善关键问题的检测.
研究的目的:
- 为医学物理学家和实习生开发可访问的培训数据集.
- 提供计划和图表审查的实践,使用户接触到各种临床失效模式.
主要方法:
- 根据AAPM工作组275的风险评估,创建了20个嵌入式错误的培训数据集.
- 数据集包括来自常见治疗计划系统的文档,屏幕截图和数字内容,可通过ProKnow.
主要成果:
- 在各种软件系统 (Mosaiq,ARIA,Eclipse,RayStation,Pinnacle) 中嵌入了代表50个故障模式的110个错误.
- 研讨会参与者更频繁地检测出优先级较高的故障模式;系统熟悉度影响了错误检测.
- 96%的人认为ProKnow门户和数据集是有效的;75%的人计划在当地使用该工具.
结论:
- 数据集和平台提供了一个标准化,可访问的工具,用于培训,评估和继续教育的物理计划和图表审查.
- 正在进行的工作旨在扩大项目,包括更多的模式,系统和新兴技术,如自动轮和自动规划.
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