Tailored Process Feedback Through Process Mining for Surgical Procedures in Medical Training: The Central Venous Catheter Case
In healthcare, developing high procedural skill levels through training is a key factor for obtaining good clinical results on surgical procedures. Providing feedback to each student tailored to how the student has performed the procedure each time, improves the effectiveness of the training. Current state-of-the-art feedback relies on Checklists and Global Rating Scales to indicate whether all process steps have been performed and the quality of each execution step. However, there is a process perspective not successfully captured by those instruments, e.g., steps performed but in an undesired order, part of the process repeated an unnecessary number of times, or excessive transition time between steps. In this work, we propose a novel use of process mining techniques to effectively identify desired and undesired process patterns regarding rework, order, and performance, in order to complement the tailored feedback of surgical procedures using a process perspective. The approach has been effectively applied to analyze a real Central Venous Catheter installation training case. In the future, it is necessary to measure the actual impact of feedback on learning.
KeywordsProcess mining Healthcare Feedback Medical training Surgical procedures
This work is partially supported by CONICYT FONDECYT 181162, CONICYT FONDECYT 11170092, CONICYT REDI 170136, VRI-UC Interdisciplinary 2017, and FOND-DCC 2017-0001. We thank Jerome Geyer-Klingeberg and Celonis Academic Alliance for their support and material.
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