SIMBO.AI

Founded 2019

Automate healthcare front-desk phone calls and clinical documentation using auditable generative models

You can use Simbo AI to automate clinical documentation and administrative phone interactions across medical practices and hospitals. It combines large language models with symbolic knowledge bases to eliminate hallucinations during medical conversations. The system handles patient calls, manages front-desk inquiries, and acts as an ambient medical scribe during patient encounters. Because it utilizes auditable knowledge representations rather than standard vector stores alone, medical staff can review, verify, and correct underlying data to maintain accurate clinical records.

What SIMBO.AI does

Transcribe doctor-patient conversations into structured notesAnswer patient phone calls automaticallyAudit medical knowledge base entries for inaccuraciesCross-reference generated clinical summaries against source recordsRoute incoming phone calls to appropriate clinical staffNormalize fragmented patient information into standard recordsSymbolic retrieval-augmented generation to eliminate model hallucinationsAuditable and human-editable knowledge base rather than opaque databasesLossless natural language understanding for complex clinical contextAI medical scribe for hands-free clinical documentation during visitsAutonomous front-desk phone agents for patient call handlingFact-checking mechanisms that automatically inspect generated responsesCombined symbolic and vector search for exact information retrieval

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