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Exploring Task Patterns in EHR Workflows Using Action Sequence Embedding and Graph-Based Analysis
Seunghwan Kim1,2, Thomas Kannampallil2,3,4, Brett D Wick5
1Roy and Diana Vagelos Division of Biology and Biomedical Sciences, Washington University St. Louis, Saint Louis, USA.
Abstract:
This study investigates clinician workflows in electronic health records (EHR) using a novel combination of context-based embedding and graph-based dimensionality reduction techniques to EHR-based audit log sequences. We identified distinct clinical task groups, suggesting the potential for semi-automated, unsupervised methods for characterizing EHR-based workflow patterns.
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