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
Parents
4
Casey Lynnette Overby, Jyotishman Pathak, Omri Gottesman et al. · Journal of the American Medical Informatics Association · 2013 · 71 citations · Full text
Edward Burn, Seng Chan You, Anthony G. Sena et al. · medRxiv · 2020 · 48 citations · Full text
1–4 of 4
127
2
h-index
1
h-index
1
h-index
Chinese Academy of Medical Sciences & Peking Union Medical College, China
1 publications · 48 citations
1
h-index
1
h-index
1–5 of 127
91
Mayo Clinic
Rochester, United States
3 h-index
7 publications
287 citations

Johns Hopkins University
Baltimore, United States
2 h-index
2 publications
67 citations
Stanford University
Stanford, United States
2 h-index
4 publications
134 citations
Mayo Clinic in Florida
Jacksonville, United States
2 h-index
6 publications
322 citations
Columbia University
New York, United States
2 h-index
13 publications
762 citations
Regeneron (United States)
Tarrytown, United States
1 h-index
1 publications
48 citations

Royal Hallamshire Hospital
Sheffield, United Kingdom
1 h-index
2 publications
38 citations
University of Pittsburgh
Pittsburgh, United States
1 h-index
2 publications
38 citations
1–8 of 91
1 publications · 19 citations
1
h-index
Repository · 1 publications · 48 citations
1
h-index
JAMIA · 1 publications · 71 citations
1
h-index
1 publications · 18 citations
1
h-index
1–4