Phenotype Algorithm Portability
Phenotype Algorithm Portability is the capacity of a computational method designed to identify patient phenotypes from electronic health records to maintain consistent performance and validity when applied across diverse healthcare settings, data environments, or populations without requiring substantial redesign.
7
Publications
394
Citations
87
Authors
31
Institutions
Publications per year
2017–2026
6
7
Jennifer A. Pacheco, Luke V. Rasmussen, Richard C. Kiefer et al. · Journal of the American Medical Informatics Association · 2018 · 39 citations · Full text
1–5 of 7
87
6
h-index
5
h-index
4
h-index
3
h-index
3
h-index
1–5 of 87
31
Northwestern University
Evanston, United States
6 h-index
38 publications
2.4K citations

Mass General Brigham
Boston, United States
4 h-index
10 publications
969 citations
Columbia University
New York, United States
3 h-index
9 publications
267 citations
Vanderbilt University Medical Center
Nashville, United States
3 h-index
12 publications
390 citations
National Human Genome Research Institute
Bethesda, United States
2 h-index
3 publications
81 citations
Massachusetts General Hospital
Boston, United States
2 h-index
2 publications
272 citations
Harvard University
Cambridge, United States
2 h-index
3 publications
326 citations
Mayo Clinic in Florida
Jacksonville, United States
2 h-index
7 publications
198 citations
1–8 of 31
JAMIA · 2 publications · 287 citations
2
h-index
Repository · 1 publications · 23 citations
1
h-index
1 publications · 11 citations
1
h-index
1 publications · 24 citations
1
h-index
1 publications · 33 citations
1
h-index
1–5