Improving Clinical Documentation for Risk Adjustment

The product identifies and leverages similarities between patients within a population to ensure appropriate patient morbidity in risk-based contracts, and assists in medical case finding initiatives.

Using machine learning analytics, Conditions to Consider identifies potential gaps in the medical record that correspond to CMS-HCC conditions. Closing these gaps at the point of care helps ensure that the morbidity of the population under a risk-based Medicare contract is appropriately reflected.

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