Medical Training Analytics through Process Mining: The Case of Central Venous Catheters Surgeries

The 2019 Conformance Checking Challenge (CCC2019) refers to the medical training process of installing Central Venous Catheters (CVC) with ultrasound, which is performed in two rounds by medical students. This report provides insights into the surgery training performance of the students. Using the Celonis Intelligent Business Cloud (IBC), we discover the particulars of the given event log and derive deviations between the expected process model and the actual procedural behavior for a successful surgery. Various process mining methods are combined in this report, such as conformance checking, process and variant discovery, throughput time and rework analysis, as well as benchmarking of different students and rounds. Interpretable dashboards are provided for the two user perspectives: students and instructors. They allow quick insights into individual performance, the deduction of violation patterns on process stage and activity level, as well as best-practice examples and recommendations for training improvement. The report also discusses limitations due to process and data characteristics, sketches possibilities for additional data collection and improvement of the medical training through violation scoring, and outlines ideas for the creation of actionable real-time recommendations for the students.