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