SuperAPI AI Directory

Tennr - AI medical document processing platform, automating document classification and medical information extraction to achieve efficient referrals

Author: AI小集 · Original source: AI工具集

What is Tennr

Tennr is an AI medical document processing platform whose core is RaeLM™, a vision-language model trained on over 4 million medical documents. Based on processes such as automated document classification, information extraction, eligibility verification, and prior authorization, the platform significantly improves healthcare service efficiency, increases patient referrals, accelerates patient access to care, and reduces reliance on manual labor. Tennr is based on intelligent automation technology to optimize the back-office operations of medical practices, allowing healthcare providers to focus more on patient care.

Tennr

Tennr's main features

  • Document classification and routing: Label, tag, and classify every document in the fax queue and inbox to ensure documents are handled appropriately.
  • Multi-patient identification (Tennr Multi Patient™): Identify how many patients are involved in a document and on which pages each patient appears, making it easy to split documents by patient.
  • EHR and billing platform auto-fill: Extract medical data from complex orders, referrals, and handwritten notes, and automatically populate it into electronic health records (EHR) or billing platforms.
  • Automated patient eligibility verification: Maintain a comprehensive rule set, immediately flag missing documents, and ensure materials are ready for future audits when all files are complete.
  • Health Code Extractor (THCE): Identify narratives and map them to code lists such as ICD, HCPCS, and CPTs to help successfully complete the billing cycle.

Tennr's official website address

Tennr's application scenarios

  • Patient intake processing: Automate the intake process for new patients, including document classification, information extraction, and entry into the EHR system, reducing manual data entry.
  • Referral management: Simplify the patient referral process, automate requests for missing information, determine patient eligibility, and handle prior authorization.
  • Insurance claims and prior authorization: Automate the insurance claims process, including filling out insurance forms, handling prior authorization, and communicating with insurance companies.
  • Document management and compliance: Ensure all necessary documents have been collected, meet audit requirements, and maintain compliance.
  • Patient eligibility verification: Automate checks of whether patients meet the conditions for receiving treatment and whether additional authorization is required.