Classification systems to segment such patients into subgroups for purposes of care management and population analytics should balance administrative simplicity with clinical meaning and measurement precision.


To describe and empirically apply a new clinically relevant population segmentation framework applicable to all payers and all ages across the lifespan.

Research Design and Subjects: 

Cross-sectional analyses using insurance claims database for 3.31 Million commercially insured and 1.05 Million Medicaid enrollees under 65 years old; and 5.27 Million Medicare fee-for-service beneficiaries aged 65 and older.



Lemke, Klaus W. PhD, MSc*,†; Forrest, Christopher B. MD, PhD‡; Leff, Bruce A. MD§; Boyd, Cynthia M. MD, MPH§; Gudzune, Kimberly A. MD, MPH†,§,∥; Pollack, Craig E. MD, MHS, MSc†,§,¶; Pandya, Chintan J. PhD, MPH, MBBS*,†; Weiner, Jonathan P. DrPH*,†. Patterns of Morbidity Across the Lifespan: A Population Segmentation Framework for Classifying Health Care Needs for All Ages. Medical Care ():10.1097/MLR.0000000000001898, November 7, 2023. | DOI: 10.1097/MLR.0000000000001898