In 2026, Medicare Advantage plans must select a platform to meet the new full CMS-HCC Model V28 requirements as well as to prepare for more RADV enforcement activity and the annual obligation to recapture all chronic conditions.
The best HCC coding software in 2026 will offer features beyond basic code suggestion. It will support AI chart review, MEAT evidence validation that allows tracking back to the source of the data, and audit-proof documentation with leading-edge speed and precision compared to the current state of HCC coding through manual processes. A specialized urology coding solution can also help healthcare organizations handle the specific coding requirements associated with urological conditions.
These seven platforms that are driving the risk adjustment landscape have been evaluated in this guide and confirmed by each vendor’s official website.
1. RAAPID
Best for: Health plans, providers, and technology partners needing breakthrough speed, clinical accuracy, and audit-proof documentation on a single platform
RAAPID has swiftly positioned itself at the forefront of AI-based risk adjustment and HCC coding software solutions and has received a Series A funding round from M12 (Microsoft’s Venture Fund). Over 100 clients currently rely on this SaaS solution to process more than eight million records for patients each year.
The Novel Clinical AI Platform from RAAPID combines Neuro-Symbolic AI technology (deep learning plus structured clinical reasoning) to solve the “accuracy-speed-value trilemma,” delivering 98% accuracy of HCCs, an average of eight minutes or less per patient chart review, and a guaranteed 10:1 return on investment (ROI) to health plans and providers.
The platform includes three solutions, each of which provides integrated capabilities. The projected and real-time solutions integrate into EHR workflows to support pre-visit planning and closing HCC gaps, while the retrospective solution autonomously stratifies high-risk patients, conducts chart reviews, identifies HCCs, and validates MEAT criteria (by greatly reducing my program’s time frames from a matter of months to a matter of days) at a total cost of nearly 40%.
Lastly, RAAPID’s RADV audit support employs AI to validate every code against MEAT and enables the extraction of evidence to support an HCC by linking each HCC to the sentences that support it in the clinical document.
RAAPID’s systems meet HITRUST, SOC 2 and HIPAA compliance and are hosted on Google Cloud, AWS and Microsoft Azure.
2. Reveleer
Best for: Health plans seeking an end-to-end value-based care platform combining risk adjustment, quality improvement, and clinical intelligence
Reveleer has been a leader for more than 15 years, providing an integrated end-to-end value-based care platform that combines risk adjustment coding, quality improvement, clinical intelligence, and member management in one system of record.
In January 2026, Reveleer launched EVE Hybrid AI, their next-generation artificial intelligence system that will leverage Google Cloud and the Gemini and Vertex AI technology stacks to create a hybrid model for creating planning risks based on both generative and deterministic laws.
As a result, EVE will enable clinicians to have access to all 2.5 million unique versions of the diagnosis for each patient, as well as give coders direct visibility into the clinician workflow with a fully explainable diagnosis tool.
Currently, Reveleer has over 70 different customers covering approximately 66 million lives. In addition, during 2024, Reveleer processed 1.1 billion pages of medical records and created 2.5 million unique diagnoses.
In addition to the prospective and retrospective review capabilities associated with the platform, EVE also provides verifiable sources and references for all clinical insights produced by the platform.
Finally, Reveleer’s automation capabilities provide each coder with an average of 42.5% savings on total coder review time while achieving an average of over 99% accuracy in identifying missed diagnoses.
3. Cotiviti
Best for: Payers and health plan networks prioritising data analytics, predictive modelling, and comprehensive retrospective risk adjustment
Cotiviti has developed an entire suite of Risk Adjustment services that include technology, analytics, AI, and deep subject matter experience in order to assist health plans in receiving the proper reimbursement for the risk associated with their members.
Their Medical Record Coding products use natural language processing technologies to increase the efficiency of coding through the use of expert leadership, industry knowledge and proven best practices to ensure accurate population capture of risk.
Cotiviti has programmes that support all three types of risk adjustments in an integrated manner, which provides health plans with the ability to run comprehensive risk adjustment programmes across all three types of adjustments at the same time.
With more than 25 years of experience and over 200 payer clients, Cotiviti provides its clients with predictive modelling capabilities and accurate RAF score forecasting for organisations subject to value-based care contracts.
4. Optum (Episource)
Best for: Health plans and provider organisations requiring scale, the largest Medicare Advantage database in the industry, and AI-enabled precision targeting
Optum’s risk adjustment capabilities operate through its Episource and Risk Analytics platforms, which together provide a comprehensive retrospective and prospective risk adjustment suite powered by artificial intelligence.
The Risk Analytics platform is a comprehensive analytics solution that turns data into actionable insights, enabling health plans to leverage risk adjustment suspecting and gap analytics based on historical data with simplified workflows to manage prospective, concurrent, and retrospective campaigns from a single application.
Optum’s AI modernises the retrospective chart review process by shifting focus from volume-based to precision targeting of charts, using AI-enabled components to improve efficiency, reduce expense, and maximise accuracy from one vendor.
The company draws on what it describes as the largest Medicare Advantage database in the industry to power analytics that improve RAF score accuracy and compliance, serving a broad range of health plans and provider organisations managing high-risk, diverse member populations.
5. Vatica Health
Best for: Medicare Advantage plans seeking a PCP-centric, in-office prospective risk adjustment model that integrates directly into provider workflows
For three years in a row (2023, 2024, and 2025), Vatica Health won the KLAS distinction as Best in KLAS for Risk Adjustment Software and Professional Services, and it is the only company in the Risk Adjustment and Quality category to win this award as a Consistent High Performer (per KLAS’ website).
Unlike conventional retrospective first models, the Vatica Model deploys licensed nurses and clinical validation auditors certified by the AAPC to practices.
Approximately 90% of the preparatory work is accomplished before each patient encounter, with PCPs averaging between two and four minutes to complete coding and documentation for each patient.
The use of Vatica’s technology allows for the synthesis of EMR and health plan data to provide the greatest total view of a patient available from multiple sources, and Vatica Connect allows for risk adjustment workflows to be performed directly in existing EMR systems (currently supporting Epic, athenahealth and eClinicalWorks) without requiring separate access or programs.
The platform increases coding accuracy and specificity by 12% to 16%, is currently available in 39 states, and has the capability to serve thousands of PCPs and health plans across all Medicare Advantage, Medicaid, and ACA lines of business.
6. Solventum (formerly 3M Health Information Systems)
Best for: Large provider systems and health plans valuing four decades of expert content, enterprise reliability, and standardised documentation workflows
Solventum, which spun out of 3M as an independent company in April 2024, brings more than four decades of coding expertise and proprietary clinical classification methodologies to its risk adjustment platform.
Its 360 Encompass System supports both CMS-HCC and HHS-HCC risk adjustment models, integrating clinical documentation integrity, AI-powered coding review, and population health analytics into a single platform designed to help organisations improve risk adjustment accuracy alongside broader quality and revenue cycle goals.
Approximately 42 billion dollars in managed care premiums are prospectively risk-adjusted annually using Solventum’s Clinical Risk Groups Classification System, reflecting the depth of its adoption across the US healthcare market.
The platform uses expert-guided AI to streamline coding workflows, with integrated CDI loops that proactively identify documentation gaps and address them to improve quality metrics, risk adjustment, continuity of care, and revenue capture simultaneously.
7. Inovalon
Best for: Health plans requiring national-scale data connectivity, convergent risk and quality analytics, and configurable risk programme management
The Converged Risk Platform from Inovalon is built on the Inovalon ONE Platform and combines national-scale connectivity, real-time access to primary source data, and advanced analytics that are based on over 97 billion medical events recorded across 1.1 million physicians, 717,000 clinical settings, and 454 million individual patient lives.
The Risk Score Accuracy Software from Inovalon allows health plans to stratify entire populations based on various factors related to a patient’s medical condition and degree of confidence; it also allows for the identification of chronic diseases or other conditions that are under-coded or over-coded (lack clinical validation) using a single configurable interface.
The October 2024 launch of AI-enabled Converged Record Review will use algorithms to provide a 50% reduction in the amount of unnecessary manual medical record reviews that are done today.
Inovalon provides services to 13 of the 15 largest health plans in the United States and has a solution called Converged Provider Enablement that offers point-of-care solutions directly within the existing workflow of provider partner organizations to improve their accuracy in determining a patient’s risk score without interrupting their ability to deliver clinical care.
How to Choose the Right Platform for Your Organisation
The right platform depends on your programme strategy, technical environment, and the specific risk adjustment challenges your organisation faces most acutely.
Health plans running high-volume retrospective programmes with acute RADV audit exposure should prioritise platforms with traceable MEAT evidence documentation and sub-10-minute chart review capabilities.
Organisations building prospective programmes that depend on PCP adoption and point-of-care documentation accuracy will find very different strengths in platforms like Vatica Health versus technology-first solutions like RAAPID or Inovalon.
Regardless of which platform best matches your current requirements, the common thread across every effective risk adjustment programme in 2026 is the same: accurate, evidence-backed HCC documentation that reflects the true complexity of your member population and can withstand scrutiny at every level of regulatory review.