Severity Coding Rules

Severity Coding Rules is a methodological framework within coding guidelines that operationalizes the classification of textual or behavioral data by specifying standardized criteria to determine the relative seriousness or impact level of coded incidents, thereby distinguishing it from general coding protocols through its focused emphasis on gradations of harm, risk, or consequence.

6

Publications

343

Citations

30

Authors

21

Institutions

Publications per year

2017–2026

0

Authors

30

  1. JL
    Jong-Chan Lee

    Seoul National University Bundang Hospital, South Korea

    1 publications · 14 citations

    1

    h-index

  2. JF
    Julie Fiskio

    Brigham and Women's Hospital, United States

    1 publications · 31 citations

    1

    h-index

  3. AC
    Andrew C. Seger

    Brigham and Women's Hospital, United States

    1 publications · 31 citations

    1

    h-index

  4. AR
    Alberto Raggi

    Fondazione IRCCS Istituto Neurologico Carlo Besta, Italy

    1 publications · 17 citations

    1

    h-index

  5. AI
    Arthur I. Alterman

    University of Pennsylvania, United States

    1 publications · 23 citations

    1

    h-index

1–5 of 30

Venues

  1. Primary Care Respiratory Journal

    1 publications · 14 citations

    1

    h-index

  2. Journal of Patient Safety

    1 publications · 31 citations

    1

    h-index

  3. Disability and Rehabilitation

    1 publications · 17 citations

    1

    h-index

  4. Journal of Substance Abuse Treatment

    1 publications · 23 citations

    1

    h-index

  5. Acta Orthopaedica

    1 publications · 43 citations

    1

    h-index

1–5