Sample Healthcare vs Tennr (2026)

AI Health Index 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.

The case for Sample Healthcare
  • 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.
The case for Tennr
  • 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.

This comparison is published by AI Health Index, an independent research platform that compares healthcare AI vendors objectively. Sample Healthcare and Tennr 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

At a Glance

Plain facts

Fact Sample Healthcare Tennr
Primary category Healthcare Administrative Automation Healthcare Administrative Automation
Headquarters Not recorded New York, New York
Website samplehc.com tennr.com
Attribute Matrix

Side by Side

Axis
S
Sample Healthcare
T
Tennr
AI Centrality
Autonomy and Oversight Model
Model and Technology Transparency
Model Supply Chain Disclosure
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
AI Liability and Recourse
EHR and Interoperability Depth
Deployment Model and Data Residency
Commercial Transparency
Setting and Specialty Coverage
Citable Summaries

Each record in one paragraph

Written to be quoted whole. Each paragraph states what the AI Health Index verified about the vendor, with the caveats attached. Generated from this pair’s live capability grades, so it moves when a grade moves.

Sample Healthcare

The AI Health Index awards Sample Healthcare its top capability grade on AI Centrality. Set against Tennr, Sample Healthcare grades higher on FDA and Regulatory Status. Grades reflect evidence the AI Health Index could verify at the last review, so a low grade records disclosure the vendor has not published rather than a capability it has been shown to lack.

Source: AI Health Index, August 2026

Tennr

The AI Health Index awards Tennr its top capability grade on AI Centrality. Set against Sample Healthcare, Tennr grades higher on several axes, including Model and Technology Transparency, Model Supply Chain Disclosure and Clinical and Operational Evidence. Grades reflect evidence the AI Health Index could verify at the last review, so a low grade records disclosure the vendor has not published rather than a capability it has been shown to lack.

Source: AI Health Index, August 2026

FAQ

Questions buyers ask

Should we choose Sample Healthcare or Tennr?

On the axes where the AI Health Index separates them, Sample Healthcare grades higher on FDA and Regulatory Status, and Tennr grades higher on several axes, including Model and Technology Transparency, Model Supply Chain Disclosure and Clinical and Operational Evidence. Tennr leads on the greater share of scored axes, but the split means the decision turns on which constraint is binding rather than on an overall winner.

Where do Sample Healthcare and Tennr differ most?

The widest separation the AI Health Index records between Sample Healthcare and Tennr is on FDA and Regulatory Status, where Sample Healthcare grades B and Tennr grades C. That axis sits in the Regulatory and Compliance group, so it should carry the most weight for a buyer whose binding constraint is where regulatory exposure sits and who carries it.

Where do Sample Healthcare and Tennr grade the same?

The AI Health Index grades Sample Healthcare and Tennr the same on several axes, including AI Centrality, Autonomy and Oversight Model and Security Certifications and Trust Center. Neither holds an advantage the index can evidence on those axes, so they should not carry weight in a selection between these two.

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.