Object-Centric Process Mining of Laparoscopic Cholecystectomy Workflows: Identifying Bottlenecks and Optimization Opportunities

OCPM enables multi-perspective insights invisible to traditional case-centric approaches. While intraoperative phases function efficiently, preoperative scheduling and postoperative discharge represent primary bottlenecks. The high ICU admission rate (31.6%) likely reflects institutional case mix and data classification practices rather than true critical care needs. Targeted interventions addressing preoperative scheduling optimization, discharge bottlenecks, and real-time monitoring could substantially improve surgical throughput.

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Publication Details

Journal
Applied Clinical Informatics
Published
2026-03-13
DOI
https://doi.org/10.1055/a-2832-9369
Primary Topic
Business Process Modeling and Analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

Object-Centric Process Mining of Laparoscopic Cholecystectomy Workflows: Identifying Bottlenecks and Optimization Opportunities

Ufuk Çelik
Applied Clinical Informatics
Business Process Modeling and Analysis
article

Object-Centric Process Mining of Laparoscopic Cholecystectomy Workflows: Identifying Bottlenecks and Optimization Opportunities

Ufuk Çelik
article en

Abstract

OCPM enables multi-perspective insights invisible to traditional case-centric approaches. While intraoperative phases function efficiently, preoperative scheduling and postoperative discharge represent primary bottlenecks. The high ICU admission rate (31.6%) likely reflects institutional case mix and data classification practices rather than true critical care needs. Targeted interventions addressing preoperative scheduling optimization, discharge bottlenecks, and real-time monitoring could substantially improve surgical throughput.

Applied Clinical Informatics
Bandırma Onyedi Eylül University (TR)
Openalex Percentile: Top 25%
Business Process Modeling and Analysis
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