Navina vs RAAPID (2026)
Two products that read the chart to find what has not been documented, and they differ in what they are optimizing for. Navina assembles a consolidated patient portrait at the point of care from the record, exchanges, claims and care gap files, surfacing suspected conditions with evidence attached inside the appointment. RAAPID is built around risk adjustment specifically, with a neuro symbolic architecture linking every suggested condition code to particular clinical evidence, which turns explainability into a structural property rather than a promise, and coder validation sits inside the workflow. For a clinician facing product, Navina fits the visit. For a coding operation that has to defend every added condition in an audit, RAAPID's evidence linkage is the stronger answer. RAAPID says its review flags unsupported codes for removal as well as adding missed ones; Navina does not say whether it does.
- It assembles a consolidated patient portrait at the point of care from the record, exchanges, claims and care gap files, with the evidence attached to every insight.
- Named and typed certifications plus native bidirectional integration mean the insight reaches the clinician inside the appointment rather than in a worklist afterwards.
- For a group under risk, working the whole panel through the visit is broader than a coding architecture.
- The explainability architecture is the product: every suggested hierarchical condition category code links back to specific clinical evidence, which is a structural answer rather than a policy.
- Coder validation is built into the workflow, and the security page names HITRUST r2 and SOC 2 Type 2.
- It can run inside a customer's own Azure tenant, which matters for a platform reading whole charts.
This comparison is published by AI Health Index, an independent research platform that compares healthcare AI vendors objectively. Navina and RAAPID are each graded against the same capability taxonomy, from each vendor's own public materials and the regulatory record, under the AI Health Index verification standard. No vendor pays for placement, and no vendor has reviewed this page. How this evidence is graded
Plain facts
| Fact | Navina | RAAPID |
|---|---|---|
| Primary category | Clinical Decision Support | Value Based Care Intelligence |
| Founded | 2018 | 2022 |
| Headquarters | New York, New York, United States | Louisville, Kentucky, United States |
| Website | navina.ai | raapidinc.com |
Side by Side
Select any grade to read the note behind it.
Each vendor in one paragraph
Written to be quoted whole. Each paragraph opens the AI Health Index profile of the vendor: what the product is, who buys it and what it does.
Clinician copilot that ingests data across the EHR, health information exchanges, insurance claims, and care gap files, then uses proprietary language models to classify documents and extract structure from free text, producing a consolidated Patient Portrait at the point of care. Surfaces suspected chronic conditions never explicitly documented, infers hierarchical condition categories for risk adjustment, and supports HEDIS care gap closure, with every insight linked back to the underlying clinical evidence.
Source: AI Health Index, September 2026
RAAPID is a Louisville, Kentucky risk adjustment company whose platform is built on what it calls neuro symbolic AI: machine learning combined with a clinical knowledge graph that links every suggested hierarchical condition category code to MEAT based chart evidence, and flags codes the record does not support as well as missed ones.
Source: AI Health Index, September 2026
Questions buyers ask
How do Navina and RAAPID work with the EHR?
For Navina, the home page shows athenahealth, Epic and Veradigm as EHR integration partners. Navina's February 2024 announcement describes the platform live inside the Epic environment of NOMS Healthcare, with diagnosis recommendations presented in Epic's Best Practice Advisory alongside a link to the source evidence, and Navina's own listing on the Avia marketplace names Epic, eClinicalWorks, athenahealth and Allscripts.
With RAAPID, the home page describes the prospective solution as EHR integrated and lists API integration and custom workflows for AI as a service; the company's marketplace announcement describes an EHR integrated solution on Azure, and the AI as a service page says the APIs integrate with existing health IT systems. From the AI Health Index, drawn from each vendor's own published materials and the regulatory record, verified September 22, 2026. No vendor pays for placement.
How are Navina and RAAPID priced and sold?
In Navina's case, the benefit side is better evidenced: an independent study by the American Academy of Family Physicians reported a 30 percent reduction in chart review burden and a 23 percent reduction in burnout, and the product was named 2025 Best in KLAS for clinician digital workflow.
For RAAPID, the company sells four solutions (retrospective and prospective risk adjustment, RADV audit, and AI as a service by API) in three service models: a fully managed program in which its certified coders do the work, the platform used by the customer's own coders, or the AI connected to existing systems. From the AI Health Index, drawn from each vendor's own published materials and the regulatory record, verified September 22, 2026. No vendor pays for placement.
How do Navina and RAAPID handle patient data?
With Navina, data processed on behalf of a customer is retained for as long as the service runs and a reasonable time after; data is stored on AWS in North Virginia; and information the company anonymizes or de identifies may be used and disclosed to third parties without restriction, including to improve its services. The core technology page adds that Navina is built with strict data governance, HIPAA compliance and encryption.
In RAAPID's case, the platform processes complete clinical documentation for health plans and providers, and the company reports more than 8 million patient records a year. Deployment inside the customer's own Azure tenant keeps charts behind a perimeter the plan controls, which the company describes as PHI never leaving the organization; the hosted and managed options put the documentation in the company's hands. From the AI Health Index, drawn from each vendor's own published materials and the regulatory record, verified September 22, 2026. No vendor pays for placement.
Which settings and specialties do Navina and RAAPID cover?
For Navina, the value based tie is the product itself: HCC risk adjustment and RAF accuracy, HEDIS quality measures and care gap closure, and analytics tracking value based performance, with the FAQ covering risk adjustment audits for Medicare Advantage plans. The company has extended into ambient transcription combined with historical data, widening from a pre visit tool toward the full encounter.
With RAAPID, the named validation is general. Customer quotes on the home page are unattributed by organization, and no named deployment is tied to the prospective workflow specifically. From the AI Health Index, drawn from each vendor's own published materials and the regulatory record, verified September 22, 2026. No vendor pays for placement.
Related comparisons
Other published head to head assessments involving these vendors or their closest peers. The full set for this category is on the Autonomous Medical Coding page.
Both surface conditions that improve documentation completeness and raise risk adjusted revenue at the same time. Neither publishes what proportion of surfaced conditions clinicians confirm, or a ratio of codes removed to codes added. RAAPID's evidence is specific and quantified but entirely vendor reported with no independent validation located. Navina states only that data rests on AWS in North Virginia and publishes no governance framework. Neither publishes a subgroup analysis.