Kennar achieves SOC2
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The AI workforce that makes value-based care actually work.
Kennar, your AI teammate, works alongside every clinician — one that closes quality gaps, captures HCC conditions, and manages care transitions at every visit.

No extra clicks. No extra staff. No work left uncaptured.
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about kennar
One AI teammate,
three ways it helps.
HCC Risk Adjustment
Your team manages chronic conditions that often go undocumented, costing you credit. Kennar catches them in real time, prompts accurate capture, and ensures every condition is audit-defensible.
Kennar achieves SOC2
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Quality Gap Closure
Kennar identifies open HEDIS measures and surfaces them at the right moment in the visit. Gaps that used to slip through get closed in the room, in real time, every time.
Transitions of Care
Your patient was just discharged, and Kennar already knows. It pulls discharge data automatically, builds clinical summaries, and creates follow-up tasks in your workflow the same day, not weeks later.
70%
HEDIS capture rates across deployed networks, up from industry-typical ~25%.
50%
Quality measures closed autonomously, gaps that previously required manual outreach or chart chasing.
0.2 RAF
Lift estimated annually — based on an average of 2 additional HCC codes captured per encounter.
2 hr/day
returned to physician and support staff—time previously spent on chart prep & retrospective review.
WHO WE SERVE
Bridging revenue gaps across the entire healthcare ecosystem
Don't see your healthcare practice here? No problem — we work with other segments, too.

For Clinicians & Practices

Captures your work as it happens. Gaps close. Conditions get coded. Documentation gets done. You stay with your patient.

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For IPAs, ACOs & Provider Networks

Deploys across practices, capturing structured data at point of care. Evidence submission standardized and scaled to your contract requirements.

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For Health Plans & Payers

Reduces friction across your provider network. Capture happens at face-to-face encounters where CMS requires it, so data holds up under chart review records and RADV audits. Automated transitions reduce preventable readmissions.

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For Digital Health Companies

Structured clinical data captured at the point of care, available via API. Build on top of data that's accurate, current, and sourced where it originates. OpenAPI specifications available for integration partners.

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how we work
Seamless Integration with leading EHR systems
Whether you're delivering care, managing a network, administering a plan, or building the next generation of health tools - Kennar puts the right clinical data in the right hands at the right moment.
(1) capture
Capture Conversations
Automatically
Scribe listens to patient interactions and structures clinical data in real-time without disrupting your workflow.
Real-time clinical data structuring
(2) identify
Identify Gaps and Opportunities
Kennar AI analyzes patient data to surface HEDIS gaps and HCC risk opportunities instantly.
Instant gap & risk identification
(3) action
Take Action Instantly
Providers can act on insights immediately within their existing workflow — no switching systems.
One-click actions within workflow
(4) IMPACT
Drive Measurable Outcomes
Improve quality scores, increase revenue, and ensure compliance with every interaction.
Quantifiable quality improvement

We make your Security our priority

Frequently asked questions
Have questions?
We got answers.

Kennar captures HCC codes prospectively at face-to-face encounters with MEAT-compliant documentation support. Retrospective chart review is the primary driver of RADV clawback risk; Kennar's point-of-care model eliminates that exposure by design.

By surfacing HEDIS gaps and HCC recapture opportunities in-workflow before the visit ends, Kennar ensures providers address chronic conditions and screenings in real time rather than chasing patients post-visit. Automated ToC delivery into the EHR also closes the post-discharge loop, reducing fragmented care.

Kennar outputs standardized, audit-ready supplemental data from clinical encounters, eliminating non-standard manual submissions. All data traces back to a face-to-face encounter with an approved provider type, meeting CMS encounter-level evidentiary standards.

Yes. Kennar deploys across large provider networks via EHR-agnostic integration, a multi-tenant architecture supporting health systems, IPAs, ACOs, and MSOs, and agentic AI workflows that operate at scale.