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
63
Supporting Regularized Logistic Regression Privately and Efficiently
Wenfa Li, Hongzhe Liu, Peng Yang et al. · PLoS ONE · 2016 · 165 citations · Full text
Data Integration for Future Medicine (DIFUTURE)
Oliver Kohlbacher, Ulrich Mansmann, Bernhard Bauer et al. · Methods of Information in Medicine · 2018 · 113 citations · Full text
1–5 of 63
456
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2
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2
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2
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Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany
2 publications · 87 citations
2
h-index
1–5 of 456
186
University of California San Diego
San Diego, United States
4 h-index
15 publications
342 citations
Harvard University
Cambridge, United States
3 h-index
10 publications
584 citations
Heidelberg University
Heidelberg, Germany
3 h-index
7 publications
413 citations
Leipzig University
Leipzig, Germany
2 h-index
6 publications
72 citations

Vanderbilt University
Nashville, United States
2 h-index
5 publications
221 citations
University of Geneva
Geneva, Switzerland
2 h-index
5 publications
474 citations
University of Oxford
Oxford, United Kingdom
2 h-index
2 publications
128 citations
BJC HealthCare
St Louis, United States
2 h-index
2 publications
60 citations
1–8 of 186
Repository · 7 publications · 146 citations
7
h-index
JAMIA · 4 publications · 115 citations
4
h-index
3 publications · 257 citations
3
h-index
2 publications · 90 citations
2
h-index
2 publications · 81 citations
2
h-index
1–5