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Research ArticleOriginal Research

Dynamic Electronic Health Record Note Prototype: Seeing More by Showing Less

Jeffery L. Belden, Richelle J. Koopman, Sonal J. Patil, Nathan J. Lowrance, Gregory F. Petroski and Jamie B. Smith
The Journal of the American Board of Family Medicine November 2017, 30 (6) 691-700; DOI: https://doi.org/10.3122/jabfm.2017.06.170028
Jeffery L. Belden
From the Department of Family and Community Medicine (JLB, RJK, SJP, JBS), the School of Information Science and Learning Technologies, College of Education (NJL), the Department of Health Management & Informatics (GFP), and the Informatics Institute (JLB), University of Missouri–Columbia, Columbia, MO.
MD
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Richelle J. Koopman
From the Department of Family and Community Medicine (JLB, RJK, SJP, JBS), the School of Information Science and Learning Technologies, College of Education (NJL), the Department of Health Management & Informatics (GFP), and the Informatics Institute (JLB), University of Missouri–Columbia, Columbia, MO.
MD, MS
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Sonal J. Patil
From the Department of Family and Community Medicine (JLB, RJK, SJP, JBS), the School of Information Science and Learning Technologies, College of Education (NJL), the Department of Health Management & Informatics (GFP), and the Informatics Institute (JLB), University of Missouri–Columbia, Columbia, MO.
MD, MSPH
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Nathan J. Lowrance
From the Department of Family and Community Medicine (JLB, RJK, SJP, JBS), the School of Information Science and Learning Technologies, College of Education (NJL), the Department of Health Management & Informatics (GFP), and the Informatics Institute (JLB), University of Missouri–Columbia, Columbia, MO.
MS
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Gregory F. Petroski
From the Department of Family and Community Medicine (JLB, RJK, SJP, JBS), the School of Information Science and Learning Technologies, College of Education (NJL), the Department of Health Management & Informatics (GFP), and the Informatics Institute (JLB), University of Missouri–Columbia, Columbia, MO.
PhD
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Jamie B. Smith
From the Department of Family and Community Medicine (JLB, RJK, SJP, JBS), the School of Information Science and Learning Technologies, College of Education (NJL), the Department of Health Management & Informatics (GFP), and the Informatics Institute (JLB), University of Missouri–Columbia, Columbia, MO.
MA
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  • Article
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Article Figures & Data

Figures

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  • Figure 1.
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    Figure 1.

    Diagram of content for 4 model notes. APSO, assessment, plan, subjective, objective; SOAP, subjective, objective, assessment, plan.

  • Figure 2.
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    Figure 2.

    Collapsible section header with counts (abnormal values, total organ systems) and abnormal text.

  • Figure 3.
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    Figure 3.

    Section header expanded to reveal content detail with abnormal values visually emphasized.

Tables

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    Table 1.

    Description of Features for Four Model Electronic Health Record Note Visual Displays

    LetterName of Note Visual Display ModelFeatures Distinguishing This Note Model
    ASOAP noteUsual electronic health record format, serves as control
    BAPSO two-column noteMoves Assessment & Plan to top, adds second column for static data from the Past Family, Medical, and Social History
    CCollapsible APSO one columnSame features as B, but only one column of text. Adds: Interactive, collapsible accordion display; headers for Review of Systems, Physical Exam, & Results displaying the abnormal text and showing abnormal item count & total organ system count; visual emphasis (bold & color type) for abnormal values in the body text of Review of Sytems, Physical Exam, & Results.
    DCollapsible APSO two columnSame as C, but two columns instead of one
    • APSO, assessment, plan, subjective, objective; SOAP, subjective, objective, assessment, plan.

  • Table 2.
    • View popup
    Table 3.

    Comparing Task Completion Time Differences (P < .05) among Different Electronic Health Record Note Models for Each Note Section

    TaskNote Model Versus Note ModelP
    Physical examAC.0125
    AD<.0001
    BC.0023
    BD.0051
    ResultsAC.0012
    AD.0412
    BC.0476
    Review of systemsAC.0255
    AD.0048
    BC.0065
    BD.0065
    • Note models: A (traditional SOAP), B (two-column APSO), C (collapsible APSO), D (two-column collapsible APSO).

    • Only significant differences (P < .05) are displayed in the table.

    • APSO, assessment, plan, subjective, objective; SOAP, subjective, objective, assessment, plan.

    • View popup
    Table 4.

    Percent of Items Accurately Retrieved from All Possible Information for Each Electronic Health Record Note Type

    Note ModelNote Sections IncludedMean (SD)Median (min-max)
    A (traditional SOAP)All68.8 (11.9)64.7 (52.9 to 88.2)
    Excluding Physical Exam69.6 (11.8)64.3 (57.1 to 62.9)
    B (2-column APSO)All79.2 (14.6)83.3 (46.7 to 93.3)
    Excluding Physical Exam78.9 (13.9)84.6 (46.2 to 92.3)
    C (collapsible APSO)All80.5 (20.8)90.6 (37.5 to 100.0)
    Excluding Physical Exam79.5 (21.0)89.3 (42.9 to 100.0)
    D (2-column collapsible APSO)All69.1 (19.2)75.0 (25.0 to 93.8)
    Excluding Physical Exam75.5 (21.4)75.0 (25.0 to 100.0)
    • Note D contained a content error in the Physical Exam section that caused note D to perform disproportionately worse, thus we recalculated the results after removing the Physical Exam section from each of the four note models.

    • APSO, assessment, plan, subjective, objective; SOAP, subjective, objective, assessment, plan; SD, standard deviation.

    • View popup
    Table 5.

    Pairwise Comparisons of Accurate Retrieval of All Information for Each Electronic Health Record Note Type

    Note vs. Notet ValueOdds Ratio (95% CI)
    BC−0.160.96 (0.59 to 1.56)
    BD0.811.22 (0.75 to 1.99)
    BA2.221.66 (1.05 to 2.63)
    CD0.981.27 (0.78 to 2.05)
    CA2.431.73 (1.10 to 2.72)
    DA1.371.37 (0.87 to 2.15)
    • Note models: A (traditional SOAP), B (two-column APSO), C (collapsible APSO), D (two-column collapsible APSO).

    • Scores for each note pair were calculated without the faulty Physical Exam component.

    • APSO, assessment, plan, subjective, objective; SOAP, subjective, objective, assessment, plan.

    • View popup
    Table 6.

    Comparison (Paired t-test) of Note Types for Perceived Workload (NASA-TLX) and Usability (SUS)

    NoteNotePaired t-Test Results
    ABCDA Versus BA Versus CA Versus D
    MeanSDMeanSDMeanSDMeanSDP-ValueP-ValueP-Value
    TLX—Mental3.25(1.69)3.00(1.32)2.50(1.83)2.56(1.36).52.21.21
    TLX—Physical1.75(1.13)1.56(0.81)1.44(0.73)1.38(0.72).38.33.23
    TLX—Timing4.25(1.57)4.31(1.49)3.25(1.95)3.50(1.71).85.12.18
    TLX—Performance3.81(1.47)3.63(1.45)2.69(1.70)3.31(1.54).66.048.43
    TLX—Effort3.94(1.77)3.50(1.32)2.88(2.00)2.69(1.74).30.13.043
    TLX—Frustration3.31(1.78)2.69(1.54)2.75(1.98)2.63(1.75).01.41.28
    TLX—Overall3.39(1.21)3.11(0.86)2.58(1.51)2.68(1.14).24.11.10
    SUS*58.50(22.22)74.83(15.10)81.83(21.9)77.50(26.86).007.005.009
    • ↵* There was one subject who had missing data for note A. This subject was excluded from analysis specific to SUS. Bold reflects significant mean differences where P < .05.

    • Note models: A (traditional SOAP), B (two-column APSO), C (collapsible APSO), D (two-column collapsible APSO).

    • NASA-TLX contains 6 subscale items and an overall mean subscale score, each on a 7-point Likert scale in which lower TLX scores indicate less workload.

    • System Usability Scale (SUS) is reported as a raw score (scale of 0 to 100) in which larger values are considered better usability.

    • TLX, Task Load Index; APSO, assessment, plan, subjective, objective; SOAP, subjective, objective, assessment, plan.

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The Journal of the American Board of Family     Medicine: 30 (6)
The Journal of the American Board of Family Medicine
Vol. 30, Issue 6
November-December 2017
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Dynamic Electronic Health Record Note Prototype: Seeing More by Showing Less
Jeffery L. Belden, Richelle J. Koopman, Sonal J. Patil, Nathan J. Lowrance, Gregory F. Petroski, Jamie B. Smith
The Journal of the American Board of Family Medicine Nov 2017, 30 (6) 691-700; DOI: 10.3122/jabfm.2017.06.170028

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Dynamic Electronic Health Record Note Prototype: Seeing More by Showing Less
Jeffery L. Belden, Richelle J. Koopman, Sonal J. Patil, Nathan J. Lowrance, Gregory F. Petroski, Jamie B. Smith
The Journal of the American Board of Family Medicine Nov 2017, 30 (6) 691-700; DOI: 10.3122/jabfm.2017.06.170028
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