Navina
The clinician-first AI copilot for value-based care success
By Navina · 4.5/5 Value-Position score (estimate)
Positioning guardrails
Best for
- Value-based care organizations that need accurate HCC/RAF risk adjustment at the point of care
- Primary care and multi-specialty groups closing HEDIS quality gaps without manual data mining
- Clinicians who want evidence-backed patient insights inside their existing EHR workflow
- ACOs and health systems reducing chart-review burden and physician burnout
Ideal size: 50–1,000 clinicians people · Value-based care organization with an established risk-adjustment and quality program
Not for
- Fee-for-service practices with minimal value-based care exposure
- Teams wanting a standalone EHR, billing or RCM system
- Buyers who require transparent, self-serve public pricing
- Organizations outside US Medicare risk-adjustment payment models
Value metrics scorecard
Time-to-Value
About 1 month; 90% adoption in week one
~30 days to first production value
Total Cost of Ownership
On request
Custom enterprise agreement, quoted per organization; no published list price
Implementation Friction
3/5
Engineering + admin effort required
Value-Position score
out of 5 · model estimate
Full cost breakdown
Mandatory implementation fee
None
Seat tiers
Not published
Add-on costs
- None
Company & support
Who is behind Navina, and how your team gets help once it is live.
Market position
Where Navina sits against its closest alternatives. Pick any two of cost, speed, friction and buyer score, and up to 9 companies to compare.
Quadrant view
Typical annual cost × Time-to-value
The lines cross at the median of the solutions shown, so about half sit on each side of each line.
Companies on the chart 6 / 10
- Navina
- Pearl
- Assort Health
- Valant
- Phreesia
- RevenueWell
Add or change companies
Up to 10 companies including Navina. Listed closest first.
Stack fit signal
Compatibility with standard B2B ecosystems.
No supported MCP path today, so it cannot be driven from an AI client.
AI & MCP readiness
What Navina ships in AI, and what it asks of your ecosystem.
AI features shipped
Vendor pages describe an AI copilot that reconciles unstructured data from EHR, HIE and claims into a single patient view, ambient transcription for visit summaries, and evidence-backed HCC and quality insights. No vendor page names the models or model providers used, states whether customers can bring their own keys, or describes AI audit logging; the privacy policy excerpt does not address…
Your data & models
- Trains on your data
- Not recorded — ask the vendor
- Runs on
- Not recorded
- AI pricing
- Not recorded
In your ecosystem
- AI connection
- Not supported
- Model key
- Not recorded
- AI usage audit
- Not recorded
Compliance attestations
* IAPP AIGP certifies individuals, not products. It means named staff hold the credential — not that the platform does.
Bottom line
Navina is a clinician-first AI copilot for value-based care. It reconciles fragmented EHR, HIE and claims data into a single patient view, then surfaces evidence-backed HCC risk-adjustment recommendations, quality care-gap closure and documentation support at the point of care. The vendor reports 20,000+ clinician users, 86% weekly active providers and consecutive #1 KLAS rankings in clinician digital workflow. Pricing is not published; deals are enterprise agreements sold to ACOs, primary care groups and health systems.
Frequently asked questions
What does Navina actually do?
Navina is a clinician-first AI copilot for value-based care. It pulls data across the EHR, HIE and claims, reconciles it into a single patient view, and surfaces evidence-backed HCC risk-adjustment recommendations, quality care gaps and documentation support at the point of care. Customers cited on the vendor site include Privia Health, CVFP Medical Group, OnPoint Medical Group, Upperline Health and Primus Health.
How does Navina fit into our existing EHR workflow?
Navina is described as natively integrated into the clinical workflow rather than a separate destination application. The vendor says it pulls data across EHR, HIE and claims systems and offers seamless EHR integration. A customer testimonial on the case studies page reports that integration was surprisingly smooth and that providers were up and running in no time, though you should validate data-connection effort with your own IT team.
Is the AI explainable enough for clinical and audit use?
The vendor states that its explainable AI provides clinical evidence for every insight surfaced, and that risk-adjustment workflows are designed to be audit-ready. Case studies claim a 12% quality-metric boost, 41% more conditions surfaced, 94% of clinical insights addressed and 97% clinician adoption, but these are vendor-published results from selected customers, so confirm them in your own pilot before relying on them in an audit.
What does Navina cost and how is it priced?
Navina does not publish pricing on its website and offers no free tier or self-serve plan. Deals are enterprise agreements scoped with the vendor's sales and enterprise-solutions team, usually after a strategy call or demo. Budget for a custom annual contract quoted on organization size and scope rather than a list price, and ask specifically what implementation, data-connection and support services are included.
How quickly do clinicians adopt it and what results are claimed?
The vendor reports 20,000+ clinicians and care team members, 86% weekly active providers, 3.5M+ lives impacted and 600+ AI algorithms for primary care. One customer says over 90% of doctors used Navina within the first week. Navina ranked #1 in the 2025 Best in KLAS clinician digital workflow category, its second consecutive KLAS award. Independent AAFP study results are cited on the vendor site.