Duplicate Order Detection

Duplicate Order Detection is a computational method within Computerized Provider Order Entry systems that identifies and prevents the unintentional submission of identical or clinically equivalent orders by comparing new orders against existing active or pending orders based on predefined criteria such as medication, dosage, route, and timing.

10

Publications

460

Citations

58

Authors

25

Institutions

Publications per year

2017–2026

3

Authors

58

  1. PN
    Paul N. Valenstein

    Trinity Health Ann Arbor Hospital, United States

    2 publications · 57 citations

    2

    h-index

  2. MJ
    Mark Johnson

    GlaxoSmithKline (United States), United States

    1 publications · 113 citations

    1

    h-index

  3. JS
    Joan S. Ash

    Oregon Health & Science University, United States

    1 publications · 13 citations

    1

    h-index

  4. EN
    Evan Norfolk

    Geisinger Medical Center, United States

    1 publications · 113 citations

    1

    h-index

  5. NA
    Nikhil Agrawal

    Harvard University, United States

    1 publications · 51 citations

    1

    h-index

1–5 of 58

Venues

  1. Journal of the American Medical Informatics Association

    JAMIA · 2 publications · 126 citations

    2

    h-index

  2. PubMed

    Repository · 2 publications · 57 citations

    2

    h-index

  3. Data Mining and Knowledge Discovery

    1 publications · 137 citations

    1

    h-index

  4. ClinicoEconomics and Outcomes Research

    1 publications · 51 citations

    1

    h-index

  5. Applied Clinical Informatics

    ACI · 1 publications · 36 citations

    1

    h-index

1–5