Tennr is an automation platform utilizing the RaeLM™ vision language model, trained on over 4 million medical documents, to streamline the processing of healthcare paperwork. By automating document classification and data extraction, Tennr reduces patient intake time from ten days to ten minutes and decreases first-time billing denials by 98%.
Funding
$58M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Healthcare providers face significant administrative burdens due to the continued reliance on outdated technologies like fax machines for managing patient referrals and records. The lack of standardization across electronic health record systems leads to inefficiencies, delays in patient care, and increased potential for errors.
Solution
Tennr offers an intelligent automation platform designed to streamline healthcare operations by leveraging AI to process medical paperwork. The platform utilizes RaeLM™, a vision language model trained on millions of medical documents, to classify and extract data from incoming documents, including faxes. By automating tasks such as appointment scheduling and information requests, Tennr reduces patient intake time and minimizes billing denials. The system integrates with existing EHR software and fax providers to extract patient information, coordinate scheduling, and automatically request missing data, enabling healthcare providers to improve efficiency and patient care.
Target Audience
Tennr primarily targets specialist care providers, clinics, and hospitals that handle a high volume of patient referrals and paperwork, as well as health plan providers seeking to improve efficiency and patient outcomes.
Features
- Automated document classification and data extraction using the RaeLM™ vision language model
- Integration with existing EHR systems and fax providers
- Automated appointment scheduling and patient coordination
- Intelligent request system for missing information
- Reduction of first-time billing denials
- Streamlined patient intake process
- Support for various document types, including referrals and insurance cards