What is Tennr?
Tennr revolutionizes healthcare operations through its proprietary RaeLM™ vision language model, which has been trained on over 4 million medical documents, 230 million data fields, and 8,000 page classifications. This advanced AI platform enables healthcare providers to automate patient documentation processing, reducing intake times from days to minutes while significantly improving accuracy.
The platform offers end-to-end workflow automation, including document classification, patient intake, eligibility verification, and prior authorization processing. With a 98% reduction in first-time denials and the ability to operate with one-tenth of the typical headcount, Tennr enables healthcare organizations to focus more on patient care and less on administrative tasks.
Features
- Document Processing: Automated classification and information extraction from medical documents
- EHR Integration: Seamless integration with existing healthcare record systems
- Automated Intake: 10-minute patient processing instead of 10 days
- Prior Authorization: Automated insurance form submission and portal management
- Eligibility Verification: Instant patient eligibility checking
- Missing Information Management: Automated follow-up for incomplete documentation
- Quality Assurance: Human review option with 97% automation accuracy
Use Cases
- Patient documentation processing
- Medical record management
- Insurance verification
- Prior authorization handling
- Healthcare workflow automation
- Document classification and routing
- Clinical data extraction
FAQs
-
What accuracy rate does Tennr's automation achieve?
Tennr achieves a 97% accuracy rate, meaning that in most cases, no human intervention is required in the automated workflow. -
How much can Tennr reduce first-time denials?
Tennr can reduce first-time denials by 98% by catching missing or incorrect documentation upfront. -
What types of medical documents can RaeLM™ process?
RaeLM™ is trained on over 4 million medical documents, including various types of healthcare paperwork, and can process 8,000 different page classifications.
