Monday, November 7, 2016 - 10:30 am
Unlike for most services or products, the price for a medical procedure is frequently unknown to a US healthcare consumer until they receive the bill after the procedure has already been performed. This lack of transparency results in wide price variance and an inefficient market. This talk will cover how Castlight accurately predicts out-of-pocket pricing in the face of complex insurance plans, contractual restrictions, and sparse, messy data. The talk will also cover how Castlight uses machine learning to make personalized recommendations to lower healthcare costs, improve outcomes, and improve utilization of health benefits.