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Patient Payments

How a 120-Day Machine Learning Experiment Led to a 6.5% Increase in Patient Collections

In late 2019, Sift Healthcare and State Collection joined forces to test AI in the revenue cycle. Together, we conducted a rigorous 120-day live, scientific test (with a control group) for Wake Forest Baptist Health, to determine if machine learning impacted patient financial engagement outcomes. The results were impressive — a 6.5% increase in patient collections.

Justin Nicols
June 19, 2019
Data Science

Every Revenue Cycle Improvement Matters

Improving the revenue cycle means minimizing costs and increasing collections, from both patients and payers. Even on a small scale, artificial intelligence has a meaningful impact on healthcare payments and operations.

Justin Nicols
June 19, 2019