Modeling Heterogeneity in Healthcare Utilization Using Massive Medical Claims Data.

ABSTRACT: We introduce a modeling approach for characterizing heterogeneity in healthcare utilization using massive medical claims data. We first translate the medical claims observed for a large study population and across five years into individual-level discrete events of care called utilization sequences. We model the utilization sequences using an exponential proportional hazards mixture model to capture heterogeneous behaviors in patients' healthcare utilization. The objective is to cluster patients according to their longitudinal utilization behaviors and to determine the main drivers of variation in healthcare utilization while controlling for the demographic, geographic, and health characteristics of the patients. Due to the computational infeasibility of fitting a parametric proport

SUBMITTER: Hilton RP 

PROVIDER: S-EPMC6167939 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature