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Process Mining in Surgical Workflow Analysis from Videos
Boon, F.T. van der (2025) Process Mining in Surgical Workflow Analysis from Videos.
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| Abstract: | Each year, there are more than 200 million surgeries per- formed worldwide, providing essential and often lifesaving treatment. This study explores the application of process mining techniques to im- prove the analysis of surgical workflows using an annotated laparoscopic dataset. The dataset includes three types of colorectal surgeries: Proc- tocolectomy, Rectal Resection and Sigmoid Resection. Process mining, which derives workflow models from event logs, was applied using heuris- tic mining and alignment-based conformance checking to construct stan- dardized surgical process models. These models serve as empirical base- lines, enabling comparison of individual procedures against data-driven best-practice workflows. The analysis revealed recurring misalignments in specific surgical phases and substantial variability in phase transitions and procedure durations. These findings highlight the potential of pro- cess mining to quantitatively evaluate surgical performance, informing training programs, and supporting outcome monitoring. |
| Item Type: | Essay (Bachelor) |
| Faculty: | EEMCS: Electrical Engineering, Mathematics and Computer Science |
| Subject: | 58 process technology |
| Programme: | Computer Science BSc (56964) |
| Link to this item: | https://purl.utwente.nl/essays/107432 |
| Export this item as: | BibTeX EndNote HTML Citation Reference Manager |
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