Innovation Lab


Identify Medicare Improper Payments – CORMAC’s Innovation Lab Prototype using Machine Learning on Skilled Nursing Facility (SNF) Claims Data 

The Unsupervised Machine Learning Model provides a highly scalable machine driven way to identify SNF claims that have a high potential of being improper claims. The Model analyzes billions of claims and identifies risk score based on data patterns and correlations. Focusing on the high-risk cohort reduces administrative efforts going towards examining records which were paid correctly. This approach saves time and money, while providing a path to curtail improper payments before they are paid.


Simplifying PAC Quality Measure Compliance—CORMAC Using RPA to Streamline Data Extraction

Coming Soon!

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