Process Mining in Clinical Practice: Model Evaluations in the Central Venous Catheter Installation Training

An acknowledgment of feedback is extremely helpful in medical training, as it may improve student skill development and provide accurate, unbiased feedback. Data are generated by hundreds complicated variable processes within healthcare including treatments, lab results, internal logistics. Additionally, crucial to analyze training data operational eliminate bottlenecks. Therefore, the use process mining (PM) along with conformance checking allows trainees gain knowledge about instructor training. Researchers find challenging between observations from event logs predictions models artifacts process. To address this check, we modeled activities performance patterns Central Venous Catheter (CVC) installation. This work aims easy interpretable outcomes. The two independent techniques for were fuzzy (i.e., visualizing major activities) inductive at low threshold noise levels). A set 20 discrete activity traces was used validate checks. Results show that 97.8% fitness model movement occurred among nine activities.