%0 Journal Article
%T Longitudinal Clustering of High-cost Patients¡¯ Spend Trajectories:Delineating Individual Behaviors from Aggregate Trends
%A Andrew M Placona
%A Fengjuan Wang
%A Rich King
%J Archive of "AMIA Annual Symposium Proceedings".
%D 2018
%X For the past decade, there has been a concerted effort to fulfill the promises of the Triple Aim¡ªimproving patient experience and quality while lowering costs by focusing on high-cost patients via Care Management. Despite the well-known fact that high-cost patients make up roughly half of all annual medical expenses, little has been studied about high-cost patients¡¯ cost trajectories. This paper focuses on the trajectory patterns for high-cost Medicare patients, which provides another dimension to understanding optimal program intervention. We performed a retrospective observational study employing Longitudinal K-Means Clustering. We discovered there are two major categories based on overall utilization: ¡°persistent¡± and ¡°episodic¡±. Both cohorts churn to some degree in the post high-cost year
%U https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6371335/