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A process mining-based investigation of adverse events in care processes

机译：基于过程挖掘的护理过程中不良事件调查

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This paper proposes the Clinical Pathway Analysis Method (CPAM) approach that enables the extraction of valuable organisational and medical information on past clinical pathway executions from the event logs of healthcare information systems. The method deals with the complexity of real-world clinical pathways by introducing a perspective-based segmentation of the date-stamped event log. CPAM enables the clinical pathway analyst to effectively and efficiently acquire a profound insight into the clinical pathways. By comparing the specific medical conditions of patients with the factors used for characterising the different clinical pathway variants, the medical expert can identify the best therapeutic option. Process mining-based analytics enables the acquisition of valuable insights into clinical pathways, based on the complete audit traces of previous clinical pathway instances. Additionally, the methodology is suited to assess guideline compliance and analyse adverse events. Finally, the methodology provides support for eliciting tacit knowledge and providing treatment selection assistance.
机译：本文提出了一种临床途径分析方法（CPAM）方法，该方法能够从医疗保健信息系统的事件日志中提取有关过去临床途径执行的有价值的组织和医学信息。该方法通过引入基于日期的事件记录日志的透视图来处理现实世界中临床路径的复杂性。 CPAM使临床途径分析人员能够有效而高效地获得对临床途径的深刻见解。通过将患者的特定医疗状况与用于表征不同临床途径变异的因素进行比较，医学专家可以确定最佳治疗选择。基于流程挖掘的分析能够基于以前的临床路径实例的完整审计跟踪，获取对临床路径的宝贵见解。此外，该方法适用于评估准则的遵守情况并分析不良事件。最后，该方法为激发默会知识和选择治疗提供了支持。

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