Data Element Modeling

Data Element Modeling is the systematic process of defining and structuring individual units of clinical data, specifying their semantics, representation, constraints, and relationships within a standardized framework to enable interoperability, reuse, and consistency in clinical data management systems.

18

Publications

478

Citations

72

Authors

33

Institutions

Publications per year

2017–2026

3

Authors

72

  1. KT
    Kamal Taha

    Khalifa University of Science and Technology, United Arab Emirates

    2 publications · 52 citations

    2

    h-index

  2. CG
    Christopher G. Chute

    Mayo Clinic, United States

    2 publications · 36 citations

    2

    h-index

  3. RE
    Ramez Elmasri

    The University of Texas at Arlington, United States

    2 publications · 52 citations

    2

    h-index

  4. PM
    Prakash M. Nadkarni

    Yale University, United States

    2 publications · 140 citations

    2

    h-index

  5. CM
    Clémence M. A. Le Cornec

    Radboud University Nijmegen, Netherlands

    1 publications · 53 citations

    1

    h-index

1–5 of 72

Venues

  1. PubMed

    Repository · 3 publications · 52 citations

    3

    h-index

  2. International Journal of Medical Informatics

    2 publications · 140 citations

    2

    h-index

  3. Procedia Engineering

    1 publications · 12 citations

    1

    h-index

  4. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 1 publications · 31 citations

    1

    h-index

  5. 1

    h-index

1–5