## 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...

[October 22, 2020](/content/sift-perspectives/120-day-machine-learning-experiment/index.html)

## 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.

[October 1, 2019](/content/sift-perspectives/every-revenue-cycle-improvement-matters/index.html)

## Justin Nicols

Founder & CEO

A leading industry expert in data analytics technology and has an extensive background in corporate finance and investment banking. Prior to founding Sift, Justin served on the executive team of venture backed ad technology company, and an e-commerce technology company.