Carenostics vs Navina

Last VerifiedAugust 4, 2026
Verdict

Both read the record to tell a clinician something they did not know about the patient in front of them, and the difference is what happens next. Carenostics finds people who already have chronic disease that nobody has diagnosed, and the output is a clinical finding that should lead to a workup. Navina assembles a consolidated patient portrait at the point of care from the record, exchanges, claims and care gap files, surfacing suspected conditions with the evidence attached, and the output frequently ends in documentation and risk adjustment as well as care. Both are legitimate. The distinction matters because in a demonstration they look identical. Ask Carenostics what proportion of surfaced patients get diagnosed and treated, and ask Navina what proportion of suspected conditions clinicians confirm. The two answers describe different products.

Select Carenostics if
  • It surfaces undiagnosed chronic disease from existing record data, which is a detection problem rather than a documentation one, and it owns the model doing it.
  • The target is a patient whose disease is present and unrecorded, so the output is a clinical finding rather than a coding opportunity.
  • Model ownership means accuracy questions have a single accountable party rather than routing to a partner.
Select Navina if
  • 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 risk bearing group, working the whole panel through the visit is broader than detecting one class of disease.
Attribute Matrix

Side by Side

Axis
C
Carenostics
N
Navina
AI Centrality
Autonomy and Oversight Model
Model and Technology Transparency
Clinical and Operational Evidence
AI Safety and PHI Stewardship
HIPAA and BAA Posture
Security Certifications and Trust Center
FDA and Regulatory Status
AI Governance and Bias Disclosure
EHR and Interoperability Depth
Deployment Model and Data Residency
Commercial Transparency
Setting and Specialty Coverage
Keep Comparing

Related comparisons

Other published head to head assessments involving these vendors or their closest peers. The full set for this category is on the Clinical Decision Support page.

Disclosure

The incentive difference between these two is worth stating precisely. Detecting undiagnosed disease and surfacing suspected conditions for documentation look similar in a demonstration and are not the same product: one ends in a diagnosis and a treatment plan, the other can end in a code. Ask Navina what proportion of surfaced suspected conditions clinicians confirm, and ask Carenostics what proportion of surfaced patients are subsequently diagnosed and treated. Neither publishes a subgroup analysis. Carenostics publishes no retention or secondary use position; Navina publishes no hosting, residency or governance framework.

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Index Status
Last index update
August 4, 2026
The AI Health Index is an editorial reference, not a regulatory body. Vendor data is verified against published sources and public regulatory filings. Figures labeled “Estimated” have not been confirmed by the vendor. See the Methodology page for evaluation standards and limitations.
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