Empiric Segmentation of High-risk Patients: A Structured Literature Review

AJMC September 27, 2021
Jonathan Arnold, MD, MS, MSE, Joshua Thorpe, PhD, MPH, Janke Mains-Mason, MPH, Ann-Marie Rosland, MD, MS

Data-driven segmentation of high-risk patient populations may inform health system interventions, but results are dependent on the data sources and methods applied.

ABSTRACT

Objectives: Empiric segmentation is a rapidly growing, learning health system approach that uses large health care system data sets to identify groups of high-risk patients who may benefit from similar interventions. We aimed to review studies that used data-driven approaches to segment high-risk patient populations and describe how their designs and findings can inform health care leaders who are interested in applying similar techniques to their patient populations.

Study Design: Structured literature review.

Methods: We searched for original research articles published since 2000 that identified high-risk adult patient populations and applied data-driven analyses to segment the population....

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