Automated Case Processing

Automated Case Processing is a computational methodology in pharmacovigilance informatics that systematically identifies, extracts, evaluates, and routes individual case safety reports from diverse data sources using predefined algorithms and rules to accelerate signal detection and regulatory compliance.

18

Publications

514

Citations

59

Authors

34

Institutions

Publications per year

2017–2026

8

Authors

59

  1. YN
    Yasushi Nakauchi

    University of Tsukuba, Japan

    1 publications · 10 citations

    1

    h-index

  2. PC
    Patrick Caubel

    Pfizer (United States), United States

    1 publications · 86 citations

    1

    h-index

  3. JV
    Jill Viglione

    University of Central Florida, United States

    1 publications · 31 citations

    1

    h-index

  4. JS
    J. Sanz

    Hospital de Sant Pau, Spain

    1 publications · 39 citations

    1

    h-index

  5. NF
    Nicole Fornarotto

    IBM (United States), United States

    1 publications · 32 citations

    1

    h-index

1–5 of 59

Venues

  1. Crime & Delinquency

    2 publications · 35 citations

    2

    h-index

  2. Pharmaceutical Medicine

    2 publications · 80 citations

    2

    h-index

  3. Science Technology & Human Values

    1 publications · 45 citations

    1

    h-index

  4. Journal of Forensic Sciences

    JOFS · 1 publications · 38 citations

    1

    h-index

  5. Victims & Offenders

    1 publications · 31 citations

    1

    h-index

1–5