Case Study

Increasing Collections by Acting on Predictions of Propensity to Pay

Increasing Collections by Acting on Predictions of Propensity to Pay

Pages 6 Pages

Copyright © 2019 Health Catalyst 1 HEALTHCARE ORGANIZATION Integrated Delivery System PRODUCTS Health Catalyst ® Data Operating System (DOS TM ) platform c atalyst.ai TM Success Story Increasing Collections by Acting on Predictions of Propensity to Pay EXECUTIVE SUMMARY With patients responsible for an increasing amount of their healthcare costs, self-pay accounts are now the top contributor to bad debt for hospitals and health systems. The amount of bad debt expense reported nationally represents more than $55 billion annually. Allina Health had previously engaged several different vendors while trying to develop and deploy a predictive model that would assist in predicting propensity to pay, but the vendors were unable to meet Allina Health’s requirements. For the organizat

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