To better understand ACA enrollment trends, Softheon created a predictive model using machine learning (ML) to analyze its 2021 billing and enrollment data, pinpointing key risk factors for individuals.
The predictive model focused on the payment behaviors and enrollment data likely to result in a lapse due to non-payment, predicting member terminations with 80% or greater accuracy.
This insight will provide health plans with early indications as to who might lapse on their health coverage and offer the opportunity to implement retention strategies for at-risk members.
