Tennr
Product Overview
Customers Served
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Company Info
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Pricing
Vendor’s Notes
Use Cases
Fax wrangling- Customers use Tennr to classify, tag, and triage sets of documents to automatically separating junk from important documents and organizing documents associated with multiple patients.
Patient intake- Tennr's document reasoning model is used to extract complex and unstructured medical data from messy orders, doctor's notes, and referral paperwork.
Patient and provider communications- Tennr can identify when critical information is missing and automate the process of requesting that information from other providers via phone, text, and email.
Qualification- Tennr identifies healthcare narrative descriptions and maps them to health codes (ICDs, HCPCs, and CPTs). Tennr can extract data from payor guidelines across thousands of codes and automate the process of qualifying patients.
Eligibility and benefits- Customers use Tennr to automate the running of the eligibility and benefits checks, matching the right plans with the right payors so that providers can be confident in their reimbursements arriving on time.
Core Differentiators
Tennr is built on RaeLM™ a proprietary vision language model trained on over 4 million medical documents, 230 million data fields, 8,000 page classifications, and 2 billion checkboxes — making it the highest performing document reasoning model in healthcare capable of not only reading medical documents but also navigating and automating operations processes in multiple healthcare specialties.