@inproceedings{8d750c3777c942fea30d98ff5143fb5b,
title = "Exploring Task Patterns in EHR Workflows Using Action Sequence Embedding and Graph-Based Analysis",
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.",
keywords = "Electronic health records, action sequence, audit logs, clinical workflow, context embedding, task identification, unsupervised learning",
author = "Seunghwan Kim and Thomas Kannampallil and Wick, \{Brett D.\} and Holmgren, \{A. Jay\} and Robert Thombley and Lou, \{Sunny S.\}",
note = "Publisher Copyright: {\textcopyright} 2025 The Authors.; 20th World Congress on Medical and Health Informatics, MEDINFO 2025 ; Conference date: 09-08-2025 Through 13-08-2025",
year = "2025",
month = aug,
day = "7",
doi = "10.3233/SHTI251045",
language = "English",
series = "Studies in Health Technology and Informatics",
publisher = "IOS Press BV",
pages = "1281--1285",
editor = "Househ, \{Mowafa S.\} and Househ, \{Mowafa S.\} and Tariq, \{Zain Ul Abideen\} and Mahmood Al-Zubaidi and Uzair Shah and Elaine Huesing",
booktitle = "MEDINFO 2025 - Healthcare Smart x Medicine Deep",
}