The discipline of process mining has a solid track record of successful applications to the healthcare domain. Within such research space, we conducted a case study related to the Intensive Care Unit (ICU) ward of the Uniklinik Aachen hospital in Germany. The aim of this work is twofold: developing a normative model representing the clinical guidelines for the treatment of COVID-19 patients, and analyzing the adherence of the observed behavior (recorded in the information system of the hospital) to such guidelines. We show that, through conformance checking techniques, it is possible to analyze the care process for COVID-19 patients, highlighting the main deviations from the clinical guidelines. The results provide physicians with useful indications for improving the process and ensuring service quality and patient satisfaction. We share the resulting model as an open-source BPMN file.
翻译:在这种研究空间内,我们进行了一项与德国Uniklinik Aachen医院的强化护理病房有关的案例研究,其目的是双重的:制定代表治疗COVID-19病人临床准则的规范模式,分析观察到的行为(记录在医院信息系统中)是否遵守了这些准则;我们表明,通过合规检查技术,有可能分析COVID-19病人的护理过程,突出与临床准则的主要偏差;结果为医生提供了有用的指示,以改进治疗过程,确保服务质量和病人满意度;我们把由此产生的模式作为开放源的BPMN档案分享。