Identity Data Quality

Identity Data Quality is a metric that assesses the accuracy, completeness, consistency, timeliness, and uniqueness of patient identity data within identity lifecycle management systems to ensure reliable identification and interoperability across healthcare environments.

5

Publications

170

Citations

20

Authors

6

Institutions

Publications per year

2017–2026

4

Authors

20

  1. IS
    Irene Schmidtmann

    Johannes Gutenberg University Mainz, Germany

    1 publications · 11 citations

    1

    h-index

  2. DJ
    Dong Joon Lee

    Florida State University, United States

    1 publications · 21 citations

    1

    h-index

  3. SR
    Spencer Ruelos

    University of California, Irvine, United States

    1 publications · 101 citations

    1

    h-index

  4. HC
    Hannah Connolly

    SUNY Upstate Medical University, United States

    1 publications · 19 citations

    1

    h-index

  5. HH
    Hans‐Werner Hense

    University of Münster, Germany

    1 publications · 11 citations

    1

    h-index

1–5 of 20

Venues

  1. BMC Health Services Research

    1 publications · 19 citations

    1

    h-index

  2. Journal of Library Metadata

    JLM · 1 publications · 21 citations

    1

    h-index

  3. German Medical Science (German Research Foundation)

    Repository · 1 publications · 11 citations

    1

    h-index

  4. Big Data & Society

    1 publications · 101 citations

    1

    h-index

  5. Administrative Law & Governance Journal

    1 publications · 10 citations

1–5