Cross-institutional Phenotyping

Cross-Institutional Phenotyping is a disease phenotyping approach that integrates and harmonizes patient data across multiple healthcare institutions to enable more generalizable, scalable, and diverse clinical phenotype identification while addressing inter-institutional variability in data collection, coding practices, and electronic health record systems.

4

Publications

156

Citations

127

Authors

91

Institutions

Publications per year

2017–2026

3

Authors

127

  1. GH
    George Hripcsak

    Columbia University, United States

    2 publications · 119 citations

    2

    h-index

  2. BS
    Benjamin Skov Kaas‐Hansen

    University of Copenhagen, Denmark

    1 publications · 48 citations

    1

    h-index

  3. VH
    Vojtech Huser

    National Institutes of Health, United States

    1 publications · 48 citations

    1

    h-index

  4. LZ
    Lin Zhang

    Chinese Academy of Medical Sciences & Peking Union Medical College, China

    1 publications · 48 citations

    1

    h-index

  5. DK
    Denys Kaduk

    AbbVie (United States), United States

    1 publications · 48 citations

    1

    h-index

1–5 of 127

Venues

  1. Pulmonary Circulation

    1 publications · 19 citations

    1

    h-index

  2. medRxiv

    Repository · 1 publications · 48 citations

    1

    h-index

  3. Journal of the American Medical Informatics Association

    JAMIA · 1 publications · 71 citations

    1

    h-index

  4. 1

    h-index

1–4