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On Analyzing Process Compliance in Skin Cancer Treatment: An Experience Report from the Evidence-Based Medical Compliance Cluster (EBMC~2)

机译:关于皮肤癌治疗过程依从性的分析:基于证据的医学合规群体的经验报告(EBMC〜2)

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Process mining has proven itself as a promising analysis technique for processes in the health care domain. The goal of the EBMC~2 project is to analyze skin cancer treatment processes regarding their compliance with relevant guidelines. For this, first of all, the actual treatment processes have to be discovered from the available data sources. In general, the L~* life cycle model has been suggested as structured methodology for process mining projects. In this experience paper, we describe the challenges and lessons learned when realizing the L~* life cycle model in the EBMC~2 context. Specifically, we provide and discuss different approaches to empower data of low maturity levels, i.e., data that is not already available in temporally ordered event logs, including a prototype for structured data acquisition. Further, first results on how process mining techniques can be utilized for data screening are presented.
机译:流程挖掘已被证明是卫生保健领域的过程的有希望的分析技术。 EBMC〜2项目的目标是分析皮肤癌症治疗过程,了解其遵守相关指南。为此,首先,必须从可用数据源发现实际处理过程。通常,L〜*生命周期模型已被建议为过程挖掘项目的结构化方法。在这篇体验论文中,我们描述了在EBMC〜2上下文中实现L〜*生命周期模型时所吸取的挑战和经验教训。具体地,我们提供并讨论了不同的方法,以赋予低到期水平的数据,即尚未在时间有序的事件日志中使用的数据,包括用于结构化数据采集的原型。此外,呈现了如何利用过程挖掘技术如何用于数据筛选的结果。

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