Case Study
Provider eliminates cost, drives revenue, and optimizes Epic technology through data analytics.
An academic medical center of 330 beds and $700M+ NPR experienced growing self-pay inventory, increased days to pay, and decreased payment volume and amount despite census stability. They sought validation of the methodology and efficacy of propensity-to-pay scoring provided by their vendor on which they based their self-pay work flow. The score automated the frequency, duration and messaging of follow-up statements and there was concern that scores did not accurately align with the activity efforts and expected payment levels.