Demographic Data Integrity

Demographic Data Integrity is a data quality construct that ensures patient demographic information is accurate, consistent, and up-to-date across healthcare systems, thereby maintaining the reliability and validity of individual identities within health data management processes.

36

Publications

1.4K

Citations

131

Authors

62

Institutions

Publications per year

2017–2026

13

Authors

131

  1. DL
    Denis L. Bourke

    University of Maryland, Baltimore, United States

    2 publications · 139 citations

    2

    h-index

  2. PT
    Padmini Thomas

    Syracuse University, United States

    2 publications · 139 citations

    2

    h-index

  3. JŠ
    Juraj Šprung

    Mayo Clinic, United States

    2 publications · 139 citations

    2

    h-index

  4. JA
    Jeffrey A. Grass

    University of Wisconsin–Madison, United States

    2 publications · 139 citations

    2

    h-index

  5. IT
    Igor Tubin

    Cleveland Clinic, United States

    2 publications · 139 citations

    2

    h-index

1–5 of 131

Venues

  1. PubMed

    Repository · 4 publications · 44 citations

    4

    h-index

  2. Anesthesia & Analgesia

    2 publications · 139 citations

    2

    h-index

  3. Frontiers in Neurology

    1 publications · 19 citations

    1

    h-index

  4. Journal of Endodontics

    JOE · 1 publications · 53 citations

    1

    h-index

  5. Korean studies

    1 publications · 19 citations

    1

    h-index

1–5