Particle Health vs Tennr

Last VerifiedAugust 4, 2026
Verdict

Two answers to the question of how clinical information reaches an organisation that does not already have it. Tennr reads what arrives, applying a proprietary vision language model to the faxes, forms and scanned referrals that still carry most inbound healthcare communication, and turning them into routed actionable referrals. Particle Health goes and gets what was never sent, querying the national interoperability networks through a single bidirectional interface with an enrichment layer on top. The distinction matters because organisations misdiagnose this constantly: a practice drowning in unprocessed faxes has an intake problem, while a practice whose patients received care elsewhere has a retrieval problem, and buying the wrong one leaves the actual gap untouched. Many organisations have both, in which case these are complementary rather than competing purchases.

Select Particle Health if
  • Referral and document intake is the specific target and the vision language model reads unstructured inbound material directly, which is where the work actually is.
  • The output is a routed actionable referral rather than extracted text, so the intake team gets a decision rather than a data set.
  • For a practice losing referrals to intake friction, this addresses the revenue leak rather than the filing problem.
Select Tennr if
  • It is retrieval first, querying the national health information networks through a single bidirectional interface, so the data arrives from outside the organisation rather than from the fax machine.
  • The enrichment layer sits on top of genuine interoperability infrastructure, which is a harder asset to build than a document reader.
  • For an organisation whose gap is records held elsewhere rather than documents arriving unread, this is the product that closes it.
Attribute Matrix

Side by Side

Axis
P
Particle Health
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

These solve adjacent problems and a buyer should establish which one they have before comparing: unread inbound documents is an intake problem, while missing outside records is a retrieval problem, and the same organisation frequently has both. Neither vendor publishes a touchless completion rate in comparable form, which is the measure that matters for intake, nor a match rate for retrieval. Neither publishes pricing.

For any product ingesting inbound clinical documents, establish retention and whether customer documents improve models, since the sender of a fax has consented to nothing and the patient in it even less.

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Index Status
Last index update
August 4, 2026
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