AI-powered patient referral automation that reads, reasons over, and acts on healthcare documents so front-office staff don't have to.
Tennr Platform is an end-to-end patient intake automation system built on RaeLM, a proprietary vision-language model trained on millions of anonymized healthcare documents. The platform ingests referrals via fax, email, and e-portal into a universal inbox, then automatically classifies, extracts structured data, creates patient charts, and routes information to workflows. It includes Triage VLM for document classification at over 96% accuracy, Multi Patient for splitting multi-patient documents, THCE for mapping clinical narratives to ICD/HCPCS/CPT codes, and QLM for assessing payor authorization criteria. The system features human-in-the-loop approval workflows with a 97% auto-approval rate.
Automated patient referral intake and document processing
Insurance eligibility verification
Prior authorization submission and qualification
Clinical code extraction and billing preparation
Reduced manual processing time from hours to minutes per referral
Improved patient conversion rates
Reduced first-pass claim denial rates
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