Risk Adjustment

Transform HCC Risk Adjustment using ezDI's Natural Language Processing (NLP) Platform. Why not capture every appropriate HCC code and get the deserved reimbursements?

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How we solve it?

Accelerates risk adjustment workflows by accurately identifying the clinical information from the clinical notes. Documented diagnosis, chronic and comorbid conditions influence some of the value-based care reimbursement models. Extracting ICD10 codes using ezDI Clinical NLP would significantly improve coder productivity, coding accuracy, maintain an audit trail, and result in more accurate HCC and RAF scoring at a lower cost.

Customer Challenges

Unable to capture every appropriate RAF/HCC codes from unstructured patient records that are made from patient visits over a calendar year

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Clinical NLP as a service

Convert Unstructured clinical text to structured information, mapped with ICD 10, CPT, E&M ontologies.

Our Value ADD

  • Data Pre-processing
  • Develop AI/ML Models, Customizations
  • Last Mile application that creates longitudinal patient records and captures accurate risk scores

Customer Wins

Accurate capture of HCC codes and risk scores from unstructured data, creation of longitudinal patient record from prior visits.

How it Works?

risk-adjustment-use-case

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