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Process Mining has recently gained popularity in healthcare due to itspotential to provide a transparent, objective and data-based view on processes.Conformance checking is a sub-discipline of process mining that has thepotential to answer how the actual process executions deviate from existingguidelines. In this work, we analyze a medical training process for a surgicalprocedure. Ten students were trained to install a Central Venous Catheters(CVC) with ultrasound. Event log data was collected directly after instructionby the supervisors during a first test run and additionally after a subsequentindividual training phase. In order to provide objective performance measures,we formulate an optimal, global sequence alignment problem inspired byapproaches in bioinformatics. Therefore, we use the Petri net modelrepresentation of the medical process guideline to simulate a representativeset of guideline conform sequences. Next, we calculate the optimal, globalsequence alignment of the recorded and simulated event logs. Finally, theoutput measures and visualization of aligned sequences are provided forobjective feedback.

Conformance Checking for a Medical Training Process Using Petri net Simulation and Sequence Alignment