Tennr is an intelligent automation platform built specifically for healthcare operations. It uses RaeLM™, a proprietary vision-language AI model trained on millions of medical documents, to quickly and accurately process patient paperwork. Tennr drastically speeds up patient intake—from days to minutes—while reducing errors and first-time denials by up to 98%. By automating document classification, data extraction, eligibility checks, and prior authorizations, Tennr helps healthcare providers improve patient access, reduce administrative burden, and grow revenue with a fraction of the staff.
Key Features
Proprietary RaeLM™ AI model trained on over 4 million medical documents for unmatched accuracy in healthcare document processing.
Automates end-to-end patient intake workflows including document classification, missing information requests, eligibility verification, and prior authorization.
Integrates seamlessly with Electronic Health Records (EHR) systems to eliminate manual data entry.
Reduces first-time denials by 98% and speeds patient processing from 10 days to 10 minutes.
Use Cases
Accelerating new patient intake and referral processing for healthcare providers.
Automating insurance eligibility checks and prior authorization submissions.
Reducing administrative workload and errors in medical billing and documentation.
Technical Specifications
Built on a proprietary vision-language model (RaeLM™) trained on 230 million data fields and 2 billion checkboxes specific to healthcare.
Cloud-based platform with HIPAA-compliant de-identification to ensure patient data privacy and security.
Supports automated fax and call workflows to request missing patient information and follow up on referrals.