A sequential data analysis approach to electronic health record workflow

David Kaufman, Stephanie K. Furniss, Maria Grando, David W. Larson, Matthew Burton

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    2 Citations (Scopus)

    Abstract

    Failure to understand clinical workflow across electronic health record (EHR) tasks is a significant contributor to usability problems. In this paper, we employed sequential data analysis methods with the aim of characterizing patterns of 5 clinicians' information-gathering across 66 patients. Two analyses were conducted. The first one characterized the most common sequential patterns as reflected in the screen transitions. The second analysis was designed to mine and quantify the frequency of sequence occurrence. We observed 27 screen-transition patterns that were employed from 2 to 7 times. Documents/Images and Intake/Output screens were viewed for nearly all patients indicating the importance of these information sources. In some cases, they were viewed more than once which may show that users are following inefficient patterns in the information gathering process. New quantitative methods of analysis as applied to interaction data can yield critical insights in robust designs that better support clinical workflow.

    Original languageEnglish (US)
    Title of host publicationStudies in Health Technology and Informatics
    PublisherIOS Press
    Pages120-125
    Number of pages6
    Volume218
    ISBN (Print)9781614995739
    DOIs
    StatePublished - 2015
    EventContext Sensitive Health Informatics Conference, CSHI 2015 - Curitiba, Brazil
    Duration: Aug 15 2015Aug 16 2015

    Publication series

    NameStudies in Health Technology and Informatics
    Volume218
    ISSN (Print)09269630
    ISSN (Electronic)18798365

    Other

    OtherContext Sensitive Health Informatics Conference, CSHI 2015
    CountryBrazil
    CityCuritiba
    Period8/15/158/16/15

    Fingerprint

    Workflow
    Electronic Health Records
    Health

    Keywords

    • Electronic health records
    • process mining
    • sequential pattern analysis
    • usability

    ASJC Scopus subject areas

    • Biomedical Engineering
    • Health Informatics
    • Health Information Management

    Cite this

    Kaufman, D., Furniss, S. K., Grando, M., Larson, D. W., & Burton, M. (2015). A sequential data analysis approach to electronic health record workflow. In Studies in Health Technology and Informatics (Vol. 218, pp. 120-125). (Studies in Health Technology and Informatics; Vol. 218). IOS Press. https://doi.org/10.3233/978-1-61499-574-6-120

    A sequential data analysis approach to electronic health record workflow. / Kaufman, David; Furniss, Stephanie K.; Grando, Maria; Larson, David W.; Burton, Matthew.

    Studies in Health Technology and Informatics. Vol. 218 IOS Press, 2015. p. 120-125 (Studies in Health Technology and Informatics; Vol. 218).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Kaufman, D, Furniss, SK, Grando, M, Larson, DW & Burton, M 2015, A sequential data analysis approach to electronic health record workflow. in Studies in Health Technology and Informatics. vol. 218, Studies in Health Technology and Informatics, vol. 218, IOS Press, pp. 120-125, Context Sensitive Health Informatics Conference, CSHI 2015, Curitiba, Brazil, 8/15/15. https://doi.org/10.3233/978-1-61499-574-6-120
    Kaufman D, Furniss SK, Grando M, Larson DW, Burton M. A sequential data analysis approach to electronic health record workflow. In Studies in Health Technology and Informatics. Vol. 218. IOS Press. 2015. p. 120-125. (Studies in Health Technology and Informatics). https://doi.org/10.3233/978-1-61499-574-6-120
    Kaufman, David ; Furniss, Stephanie K. ; Grando, Maria ; Larson, David W. ; Burton, Matthew. / A sequential data analysis approach to electronic health record workflow. Studies in Health Technology and Informatics. Vol. 218 IOS Press, 2015. pp. 120-125 (Studies in Health Technology and Informatics).
    @inproceedings{92dab1ad4f894a2a9d2cb920ac22ec3a,
    title = "A sequential data analysis approach to electronic health record workflow",
    abstract = "Failure to understand clinical workflow across electronic health record (EHR) tasks is a significant contributor to usability problems. In this paper, we employed sequential data analysis methods with the aim of characterizing patterns of 5 clinicians' information-gathering across 66 patients. Two analyses were conducted. The first one characterized the most common sequential patterns as reflected in the screen transitions. The second analysis was designed to mine and quantify the frequency of sequence occurrence. We observed 27 screen-transition patterns that were employed from 2 to 7 times. Documents/Images and Intake/Output screens were viewed for nearly all patients indicating the importance of these information sources. In some cases, they were viewed more than once which may show that users are following inefficient patterns in the information gathering process. New quantitative methods of analysis as applied to interaction data can yield critical insights in robust designs that better support clinical workflow.",
    keywords = "Electronic health records, process mining, sequential pattern analysis, usability",
    author = "David Kaufman and Furniss, {Stephanie K.} and Maria Grando and Larson, {David W.} and Matthew Burton",
    year = "2015",
    doi = "10.3233/978-1-61499-574-6-120",
    language = "English (US)",
    isbn = "9781614995739",
    volume = "218",
    series = "Studies in Health Technology and Informatics",
    publisher = "IOS Press",
    pages = "120--125",
    booktitle = "Studies in Health Technology and Informatics",

    }

    TY - GEN

    T1 - A sequential data analysis approach to electronic health record workflow

    AU - Kaufman, David

    AU - Furniss, Stephanie K.

    AU - Grando, Maria

    AU - Larson, David W.

    AU - Burton, Matthew

    PY - 2015

    Y1 - 2015

    N2 - Failure to understand clinical workflow across electronic health record (EHR) tasks is a significant contributor to usability problems. In this paper, we employed sequential data analysis methods with the aim of characterizing patterns of 5 clinicians' information-gathering across 66 patients. Two analyses were conducted. The first one characterized the most common sequential patterns as reflected in the screen transitions. The second analysis was designed to mine and quantify the frequency of sequence occurrence. We observed 27 screen-transition patterns that were employed from 2 to 7 times. Documents/Images and Intake/Output screens were viewed for nearly all patients indicating the importance of these information sources. In some cases, they were viewed more than once which may show that users are following inefficient patterns in the information gathering process. New quantitative methods of analysis as applied to interaction data can yield critical insights in robust designs that better support clinical workflow.

    AB - Failure to understand clinical workflow across electronic health record (EHR) tasks is a significant contributor to usability problems. In this paper, we employed sequential data analysis methods with the aim of characterizing patterns of 5 clinicians' information-gathering across 66 patients. Two analyses were conducted. The first one characterized the most common sequential patterns as reflected in the screen transitions. The second analysis was designed to mine and quantify the frequency of sequence occurrence. We observed 27 screen-transition patterns that were employed from 2 to 7 times. Documents/Images and Intake/Output screens were viewed for nearly all patients indicating the importance of these information sources. In some cases, they were viewed more than once which may show that users are following inefficient patterns in the information gathering process. New quantitative methods of analysis as applied to interaction data can yield critical insights in robust designs that better support clinical workflow.

    KW - Electronic health records

    KW - process mining

    KW - sequential pattern analysis

    KW - usability

    UR - http://www.scopus.com/inward/record.url?scp=84952017649&partnerID=8YFLogxK

    UR - http://www.scopus.com/inward/citedby.url?scp=84952017649&partnerID=8YFLogxK

    U2 - 10.3233/978-1-61499-574-6-120

    DO - 10.3233/978-1-61499-574-6-120

    M3 - Conference contribution

    C2 - 26262538

    AN - SCOPUS:84952017649

    SN - 9781614995739

    VL - 218

    T3 - Studies in Health Technology and Informatics

    SP - 120

    EP - 125

    BT - Studies in Health Technology and Informatics

    PB - IOS Press

    ER -