Claim Data Quality

Claim Data Quality is a scholarly construct that denotes the degree to which claim-related information adheres to accuracy, completeness, consistency, timeliness, and validity criteria within the domain of Claim Reporting.

19

Publications

666

Citations

103

Authors

56

Institutions

Publications per year

2017–2026

12

Authors

103

  1. ML
    Matthias Löbe

    Leipzig University, Germany

    1 publications · 15 citations

    1

    h-index

  2. LL
    Lisa L. Barnes

    Rush University Medical Center, United States

    1 publications · 113 citations

    1

    h-index

  3. HY
    Hye Yeong Lee

    Yonsei University, South Korea

    1 publications · 28 citations

    1

    h-index

  4. MA
    Margaret A. Pass

    Johns Hopkins University, United States

    1 publications · 21 citations

    1

    h-index

  5. JE
    Jennifer Elston-Lafata

    Henry Ford Health System, United States

    1 publications · 37 citations

    1

    h-index

1–5 of 103

Venues

  1. Korean Circulation Journal

    1 publications · 28 citations

    1

    h-index

  2. Frontiers in Pharmacology

    1 publications · 15 citations

    1

    h-index

  3. Medical Care

    1 publications · 37 citations

    1

    h-index

  4. Korean journal of anesthesiology

    1 publications · 46 citations

    1

    h-index

  5. The Journals of Gerontology Series A

    1 publications · 113 citations

    1

    h-index

1–5