Exploring Task Patterns in EHR Workflows Using Action Sequence Embedding and Graph-Based Analysis...20th World Congress on Medical and Health Informatics (MEDINFO), August 9-13, 2025, Taipei, Taiwan

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-aut...

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Publicado en:Studies in Health Technology & Informatics Vol. 329; pp. 1281 - 1286
Autores principales: Seunghwan Kim, Kannampallil, Thomas, Wick, Brett D., Holmgren, A. Jay, Thombley, Robert, Lou, Sunny S.
Formato: proceedings research tables/charts Journal Article
Publicado: Sage Publications Inc. 2025
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Exploring Task Patterns in EHR Workflows Using Action Sequence Embedding and Graph-Based Analysis...20th World Congress on Medical and Health Informatics (MEDINFO), August 9-13, 2025, Taipei, Taiwan
      aug:
        au:
          Seunghwan Kim
          Kannampallil, Thomas
          Wick, Brett D.
          Holmgren, A. Jay
          Thombley, Robert
          Lou, Sunny S.
        affil: Roy and Diana Vagelos Division of Biology and Biomedical Sciences Washington University St. Louis, Saint Louis, USA
      sug:
        subj:
          Electronic Health Records
          Workflow
          Task Performance and Analysis
          Audit
          Health Information Systems
          Algorithms
          Congresses and Conferences Taiwan
          Taiwan
          Human
          United States
          Primary Health Care
          Machine Learning
          Data Mining
          User-Computer Interface
          Health Informatics
          Thematic Analysis
      ab: 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.
      pubtype: Academic Journal
      doctype:
        proceedings
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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