Predictive Patient Segmentation
Predictive Patient Segmentation is a patient segmentation methodology that distinguishes itself by employing predictive modeling techniques to prospectively classify individuals into clinically meaningful groups based on anticipated health outcomes, risk trajectories, or treatment responses.
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Publications
38
Citations
7
Authors
8
Institutions
Publications per year
2017–2026
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Harvard Pilgrim Health Care
Boston, United States
1 h-index
1 publications
38 citations

Brigham and Women's Hospital
Boston, United States
1 h-index
1 publications
38 citations
Public Policy Institute of California
San Francisco, United States
1 h-index
1 publications
38 citations
Anthem (United States)
Indianapolis, United States
1 h-index
1 publications
38 citations
University of Pennsylvania
Philadelphia, United States
1 h-index
4 publications
152 citations
Harvard University
Cambridge, United States
1 h-index
1 publications
38 citations
Philadelphia VA Medical Center
Philadelphia, United States
1 h-index
1 publications
38 citations
Palomar Health
San Diego, United States
1 h-index
2 publications
76 citations
1–8 of 8
JGIM · 1 publications · 38 citations
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