Tennr

Tennr

Tennr is an AI-powered platform for automated medical referrals and patient intake. It intelligently processes medical documents and insurance verifications to help healthcare organizations dramatically improve operational efficiency and accelerate patient visits.
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Medical referral automationAI medical document processingTennr medical platformPrior authorization automationHealthcare operations efficiencyRaeLM Medical AI

Features of Tennr

Powered by the RaeLM™ Vision-Language Model, it intelligently parses unstructured medical documents
Automates insurance eligibility verification and prior authorization submissions, reducing manual intervention
Unified inbox consolidates documents from multiple channels, automatically classifies, routes, and extracts key information
Workflow Manager orchestrates complex processes, supporting manual approvals and end-to-end status visibility
Automatically syncs clean data to EHR or billing systems, reducing manual data entry errors

Use Cases of Tennr

When healthcare organizations handle large volumes of faxed or emailed referrals, Tennr automatically extracts patient information and feeds it into the system
When revenue-cycle management teams need to perform complex insurance coverage verifications and prior authorization submissions
Operational leaders seek to shorten new patient processing times, accelerating processes that used to take weeks into hours
When facing high insurance denial rates, Tennr automates document review to reduce denials
To provide transparent workflow status to referrers, building trust and improving referral conversion rates

FAQ about Tennr

QWhat is Tennr?

Tennr is an AI startup focused on healthcare. Its platform automates medical referrals, documentation review, and patient intake processes using AI, helping healthcare organizations improve efficiency and optimize financial outcomes.

QWhat main problem does the Tennr platform address in the healthcare industry?

It primarily addresses inefficiencies, high error rates, and referral completion gaps—often called the 'referral black hole'—caused by traditional referral processes that rely on fax and paper forms, enabling automation and digitization.

QWhat does RaeLM™, Tennr's core technology, do?

RaeLM™ is Tennr's proprietary vision-language model, trained on millions of medical documents, capable of interpreting unstructured medical records (such as handwritten notes and referrals) and performing intelligent reviews and information extraction according to payer standards.

QWhat concrete results can healthcare organizations achieve with Tennr?

It can shorten new patient processing time from weeks to hours, achieve automated approvals at 97%, reduce initial insurance denial rates by up to 98%, and realize 20-60% cost reductions and over 50% improvements in operational efficiency.

QWhat types of healthcare organizations is Tennr suitable for?

Suitable for all types of U.S. healthcare organizations, including large medical networks, independent practices, and institutions in high-volume referral domains such as radiology, durable medical equipment, and home health.

QHow does Tennr handle medical documents from different channels?

The platform uses a universal inbox to automatically receive, classify, and route documents from multi-channel sources such as electronic faxes, emails, and portal exports, supporting multi-patient identification and document segmentation for unified processing.