Claims Data Quality Analysis

Claims Data Quality Analysis is a systematic evaluation method within the domain of Claims Analytics that specifically assesses the accuracy, completeness, consistency, and reliability of claims data to ensure its fitness for analytical and operational use.

6

Publications

185

Citations

28

Authors

18

Institutions

Publications per year

2017–2026

1

Authors

28

  1. ML
    Matthias Löbe

    Leipzig University, Germany

    1 publications · 15 citations

    1

    h-index

  2. JY
    Jun Yang

    Duke University, United States

    1 publications · 11 citations

    1

    h-index

  3. BW
    Brett Walenz

    Duke University, United States

    1 publications · 11 citations

    1

    h-index

  4. CL
    Chengkai Li

    The University of Texas at Arlington, United States

    1 publications · 11 citations

    1

    h-index

  5. US
    Ulrich Sax

    University of Göttingen, Germany

    1 publications · 15 citations

    1

    h-index

1–5 of 28

Venues

  1. 1

    h-index

  2. Studies in health technology and informatics

    Book series · 1 publications · 15 citations

    1

    h-index

  3. Journal of the Chinese Medical Association

    JCMA · 1 publications · 60 citations

    1

    h-index

  4. 1

    h-index

  5. QRB - Quality Review Bulletin

    1 publications · 24 citations

    1

    h-index

1–5