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Integrating Process Mining and Machine Learning for Surgical Workflow Optimization: A Real-World Analysis Using the MOVER EHR Dataset

The digitization of healthcare has enabled the application of advanced analytics, such as process mining and machine learning, to electronic health records (EHRs). This study aims to identify workflow inefficiencies, temporal bottlenecks, and risk factors for delayed recovery in surgical pathways us...

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Auteurs principaux: Ufuk Celik, Adem Korkmaz, Ivaylo Stoyanov
Format: Artigo
Langue:Inglês
Publié: MDPI AG 2025-10-01
Collection:Applied Sciences
Sujets:
healthcare
open access medical informatics
operating room
process mining
surgical workflow
machine learning
Accès en ligne:https://www.mdpi.com/2076-3417/15/20/11014
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