Retrospective Review platform

Enhance team productivity and precision

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Retrospective Review is part of our
Risk Adjustment solution suite.

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Coding oversights are a risk for any healthcare organization. Over time, errors add up, making it harder for health plans and providers to identify risk-adjustable opportunities, intervene early, and deliver the best possible care quality and outcomes.


Read the product brochure

Up to

4x

Increase in coder productivity*

With the Retrospective Review platform, health plans and providers can improve coding productivity and accuracy, support compliance with regulatory requirements, strengthen risk-adjusted revenue integrity, and maximize value-based program performance.

Retrospective Review is a coding platform that helps healthcare organizations maximize their coding productivity by leveraging natural language processing (NLP) and machine learning to more effectively identify missed or potentially mis-coded conditions.

Our SaaS-based platform further drives accuracy by analyzing structured and unstructured clinical data and combining it with claims information to deliver a more accurate and comprehensive picture of population disease burdens.

Charts with conditions not represented on claims or coded outside of standard CMS guidelines are isolated, evidence is prioritized to help ensure coders only review relevant documentation, and confidence scoring ensures only the most likely suggestions are surfaced.

By improving coding precision, supporting compliant risk capture, and directing resources to the highest‑value opportunities, Cotiviti’s Retrospective Review helps improve efficiency, enhance compliance, and strengthen financial performance across your organization.

Retrospective Review impact

Improve workflow efficiency to help your team handle more reviews:

  • Focus coder review efforts
  • Effectively scale to accommodate larger volumes of data
  • Enable real-time tracking of coder productivity and accuracy

Leverage NLP to highlight and correct coding and documentation discrepancies:

  • Reduce audit risk with two-way review that highlights additions and deletions
  • Streamline quality assurance and strengthen compliance
  • Improve revenue integrity and support accurate reimbursement

Gain confidence in coding and documentation accuracy:

  • Identify records coded outside of standard guidelines
  • Isolate and prioritize coding gaps with NLP technology
  • Spot frequently missed or miscoded conditions for effective provider education
*Results are based on a specific client; outcomes may vary by organization and market.

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