AgentPantheon

Tennr

AI automation for healthcare document processing and administrative workflows.

4.7 (6)
Daniel NikulshynReseñado por Daniel Nikulshyn·Actualizado mayo de 2026

Resumen

Tennr is an AI-powered automation platform built for healthcare organizations that need to handle high volumes of faxes, referrals, intake forms, and other clinical documents. It uses machine learning to read, classify, and extract structured data from unstructured paperwork, reducing the manual workload on front- and back-office staff. The platform plugs into existing EHRs, CRMs, and operational systems to route information where it needs to go, flag missing details, and trigger downstream tasks like eligibility checks or patient outreach. Provider groups, specialty practices, and DME suppliers typically use Tennr to speed up referral turnaround, reduce errors, and free staff from repetitive data entry.

Funciones clave

  • AI document classification and data extraction
  • Referral and intake automation
  • Fax and PDF processing
  • EHR and system integrations
  • Workflow routing and task triggers
  • Error and exception flagging

Casos de uso

Automate referral intake processing

Specialty practices can use Tennr to classify incoming referrals, extract patient and clinical details, and route them into the EHR to speed up turnaround times.

Digitize inbound faxes and PDFs

Convert high volumes of faxed documents and PDFs into structured data automatically, eliminating manual data entry for front- and back-office staff.

Trigger eligibility and patient outreach

Use extracted document data to automatically initiate downstream workflows like insurance eligibility checks or patient follow-up tasks.

Flag missing or erroneous information

DME suppliers and provider groups can rely on Tennr to surface incomplete intake forms or document errors before they cause downstream delays.

Pros y contras

Pros

  • Purpose-built for healthcare document workflows
  • Reduces manual data entry and processing time
  • Integrates with common EHR and operational systems
  • Handles unstructured inputs like faxes and PDFs

Contras

  • Geared toward healthcare, limited use outside the industry
  • Implementation may require workflow mapping and setup time
  • Pricing not publicly transparent

Reseñas

4.7

Promedio de 6 valoraciones.

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A

Ahmed Saleh

Use it every day

Honestly didn't expect to like it this much. Fax and PDF processing is exactly what I needed, and reduces manual data entry and processing time. but I reach for it almost every day now and it just clicks.

E

Elena Rossi

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on referral and intake automation, and handles unstructured inputs like faxes and PDFs caught me off guard. still, I'd recommend giving it a real trial.

L

Leila Hassan

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on fax and PDF processing, and purpose-built for healthcare document workflows caught me off guard. still, I'd recommend giving it a real trial.

H

Hannah Goldberg

Use it every day

Honestly didn't expect to like it this much. Workflow routing and task triggers is exactly what I needed, and integrates with common EHR and operational systems. I do wish pricing not publicly transparent, but I reach for it almost every day now and it just clicks.

S

Sanjay Gupta

Years in this space

I've evaluated a lot of these over the years. What stands out here is eHR and system integrations — handled better than most — and handles unstructured inputs like faxes and PDFs. Implementation may require workflow mapping and setup time is my one real gripe. Worth the time if this is your use case.

N

Naomi Suzuki

Solid for our team

We rolled this out across the team last quarter and reduces manual data entry and processing time. Referral and intake automation fits neatly into how we already work, and workflow routing and task triggers removed a step we used to do by hand. Pricing not publicly transparent, which is the main caveat, but it has held up under daily use.

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