Cross-institution Data Sharing

Cross-Institution Data Sharing is a health information exchange practice that involves the secure and coordinated transfer of patient-level health data between distinct healthcare organizations or institutions, distinguished by its reliance on interoperable systems, standardized protocols, and governance frameworks to ensure data accuracy, privacy, and clinical utility across organizational boundaries.

63

Publications

2.8K

Citations

456

Authors

186

Institutions

Publications per year

2017–2026

35

Authors

456

  1. XJ
    Xiaoqian Jiang

    University of California San Diego, United States

    3 publications · 90 citations

    3

    h-index

  2. KZ
    Kai Zheng

    University of Michigan, United States

    2 publications · 31 citations

    2

    h-index

  3. MV
    M van der Haak

    Heidelberg University, Germany

    2 publications · 97 citations

    2

    h-index

  4. MW
    M. Wannenmacher

    Heidelberg University, Germany

    2 publications · 97 citations

    2

    h-index

  5. HP
    Hans‐Ulrich Prokosch

    Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany

    2 publications · 87 citations

    2

    h-index

1–5 of 456

Venues

  1. PubMed

    Repository · 7 publications · 146 citations

    7

    h-index

  2. Journal of the American Medical Informatics Association

    JAMIA · 4 publications · 115 citations

    4

    h-index

  3. International Journal of Medical Informatics

    3 publications · 257 citations

    3

    h-index

  4. IEEE Internet of Things Journal

    2 publications · 90 citations

    2

    h-index

  5. 2

    h-index

1–5