Sample Healthcare vs Tennr

Last VerifiedAugust 4, 2026
Verdict

Both automate inbound administrative work and they differ in scope and in candour. Tennr is built for referral and document operations, with a proprietary vision language model reading the faxes, forms and scans that still carry most healthcare communication and turning them into routed actionable referrals. Sample spans a wider administrative range from intake through insurance appeals, with versioned lineage and end to end visibility, and it says openly that full automation is the endpoint rather than pretending human review is permanent. That candour is worth crediting and it also tells you what to ask about oversight. Neither publishes a touchless completion rate, which is the only number that matters here, because a misrouted referral is invisible until a patient calls to ask what happened.

Select Sample Healthcare if
  • It spans the administrative range from patient intake through insurance appeals in one reasoning system, deployed as copilots alongside record and revenue cycle systems.
  • It states its autonomy trajectory openly, naming full automation as the endpoint rather than implying human review is permanent.
  • Versioned lineage and end to end visibility are real infrastructure properties for an audit trail across document workflows.
Select Tennr if
  • Its proprietary vision language model reads unstructured inbound material directly, which is the hard part because most of what arrives is a fax of a scan of a form.
  • The output is a routed actionable referral rather than extracted text, so the intake team gets a decision.
  • It is scoped to referral and document operations specifically rather than to administrative work in general.
Attribute Matrix

Side by Side

Axis
S
Sample Healthcare
T
Tennr
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 Healthcare Administrative Automation page.

Disclosure

Read the security language carefully on one side: Sample Healthcare states that its audit trails satisfy record keeping expectations associated with an attestation, which describes a product feature rather than a certification the company holds. Neither vendor publishes a named customer with a verifiable outcome, an accuracy figure or a touchless completion rate, which is the measure that matters in document automation because a misrouted referral is invisible until someone chases it. Neither publishes retention terms or a training use position for customer documents.

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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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