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Coding modernization:  Leveraging the power of AI

A look at how Optum takes an innovative approach for smarter, accurate coding. 

By Sharon Yeazle, director, product | February 6, 2026 | 2-minute read

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The future of coding is AI-driven

In today’s complex healthcare environment, the accuracy of clinical documentation is more than a compliance requirement — it is a strategic imperative. Accurate and complete member health profiles are the foundation for effective risk adjustment and member care, and precise health profiles begin with reliable coding. Traditionally, chart coding for risk adjustment has been a complicated and labor-intensive process, with relevant health data residing in medical charts rather than claims. But the burdensome process of coding is changing, with new coding strategies driven by artificial intelligence (AI) and overseen by human coding experts. 

The key to this new approach to coding is to embed AI throughout the process to automate and augment the coding workflow, thereby enabling coders to focus their attention on the clinical elements that require human judgment. AI analyzes both claims and chart data, guiding coders to the most relevant content and orchestrating the workflow for maximum efficiency. 

Not only does AI drive a more efficient coding process, but it also improves coding quality. Where traditional coding is subject to the expertise of each individual, AI operates as a unified system, continually learning and developing common patterns. This centralized intelligence promotes consistent outcomes and limits variations from person-to-person interpretation. This combination of AI and human expertise delivers both efficiency and accuracy for smarter and more impactful risk adjustment coding.

AI at Optum

Optum has created advanced AI that's designed specifically for risk adjustment. Of particular importance is a rigorous AI evaluation process, which includes review and approval by the Optum AI Review Board and compliance teams. AI models undergo thorough testing before migrating to the production environment. 

As our AI and coding practices evolve, we continue to measure all three factors of coding success: completeness, accuracy and efficiency. Our goal is to strike the balance of AI and human coding for complete and accurate coding in a minimal number of chart reviews. Currently, health plans often have their charts go through multiple vendors and multiple reviews. We aim for the future state of coding where precise coding can be achieved in a single pass, relying on AI to streamline the process. 

Optum also recognizes that health plans vary in their adoption of AI coding practices. Our solutions are flexible and customized to meet clients wherever they are on their AI coding journey and to help them develop their use of AI to drive greater optimization to their risk adjustment coding programs.

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