Classifies incoming clinical notes and routes them to the correct department in real time. An LLM Router reads each note and directs it to emergency, cardiology, oncology, or primary care — ensuring critical cases like STEMI and stroke reach specialists immediately.
Screens patient medication lists in real time to detect dangerous drug-drug interactions. Catches life-threatening combinations like warfarin + aspirin, MAOI + SSRI, and methotrexate + NSAID before they reach the patient.
Automated claims adjudication with built-in fraud detection. Validates procedure codes, checks billed amounts against expected ranges, and detects upcoding and phantom billing patterns — routing claims to approve, audit, or deny.
RAG-powered question answering over clinical trial protocols. Two pipelines work together: an ingest pipeline splits protocols, generates embeddings, and stores them in a vector database. A query pipeline retrieves relevant context and generates grounded answers.
Self-hosted means patient data never leaves your infrastructure. No cloud APIs see PHI. Every pipeline runs on your own hardware.
Deploy on your own VPC, bare metal, or air-gapped network. PHI never leaves your perimeter. Docker Compose up and running in minutes.
LLM providers can run locally (Ollama) or through your own API gateway. No data is sent to third-party cloud services unless you choose to.
Every pipeline execution, every LLM decision, every routing choice is logged. Built-in support for compliance reporting and clinical governance.