论文标题
使用Petri Net模拟和序列对齐方式检查医疗培训过程的一致性检查
Conformance Checking for a Medical Training Process Using Petri net Simulation and Sequence Alignment
论文作者
论文摘要
流程挖掘最近由于其提供了透明，客观和基于数据的流程观点的潜力，因此最近在医疗保健方面越来越受欢迎。符合性检查是过程挖掘的子学科，有可能回答实际过程执行方式与现有准则的偏差。在这项工作中，我们分析了手术程序的医学培训过程。对十名学生进行了培训，可以在超声波上安装中央静脉导管（CVC）。事件日志数据是在第一次测试过程中直接在主管在指导下收集的，并在随后的个人训练阶段之后收集。为了提供客观的绩效指标，我们制定了一个受生物信息学方法启发的最佳全局序列一致性问题。因此，我们使用医学过程指南的培养皿净模型表示来模拟一组代表性的指南符合序列。接下来，我们计算记录和模拟事件日志的最佳全局序列对齐。最后，提供了对齐序列的输出度量和可视化，以进行客观反馈。
Process Mining has recently gained popularity in healthcare due to its potential to provide a transparent, objective and data-based view on processes. Conformance checking is a sub-discipline of process mining that has the potential to answer how the actual process executions deviate from existing guidelines. In this work, we analyze a medical training process for a surgical procedure. Ten students were trained to install a Central Venous Catheters (CVC) with ultrasound. Event log data was collected directly after instruction by the supervisors during a first test run and additionally after a subsequent individual training phase. In order to provide objective performance measures, we formulate an optimal, global sequence alignment problem inspired by approaches in bioinformatics. Therefore, we use the Petri net model representation of the medical process guideline to simulate a representative set of guideline conform sequences. Next, we calculate the optimal, global sequence alignment of the recorded and simulated event logs. Finally, the output measures and visualization of aligned sequences are provided for objective feedback.
