Medicare Informatics' Analytics Engine

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By leveraging Risk Adjustment Analytics techniques, healthcare providers can smooth the path forward for Value-Based Payment Model.

  1. Incorporates Alternate Data Sources, such as out-of-network claims, pharmacy and care management data, to identify all possible risk gaps.
  1. Calculates Risk Adjustment Factor (RAF) and Analyzes HCC Scores. Provide the most up-to-date and accurate models, which include everything from claims and charts to prescriptions and lab test results.
  1. Monitors and Interprets Risk Score Trend Data to create the most effective prospective and retrospective risk adjustment strategy
  1. Accurately Measures Risk Adjustment Opportunity and deploying risk adjustment strategies in order to optimize risk-adjusted revenue, avoid waste, and minimize provider abrasion.
  1. Gains More Control of Risk Adjustment Processes. Increase efficiency and improve revenue.

Back to HCC Risk Adjustment