%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/