Building CareGraph AI: Autonomous Multilingual Voice & Knowledge Graph Healthcare Triage with FalkorDB

Описание и применение

Система CareGraph AI использует FalkorDB для мгновенного определения критических состояний по голосовым данным, обеспечивая быстрый доступ к ICU‑местам и специалистам в Индии.

Задача

Emergency medical triage in India is slowed by hallucinating chatbots and disconnected hospital resources, causing critical delays in life‑saving decisions.

Результат

The system achieves sub‑second deterministic triage, replacing hallucinating LLMs with a 0.31 ms FalkorDB traversal, enabling instant ICU bed allocation and ambulance dispatch across India.

Рабочий процесс

• Patient speaks symptoms via phone
• Deepgram Nova‑2 and Murf Falcon TTS process audio (<250 ms)
• Session and detected symptoms written to FalkorDB
• 5‑hop Cypher traversal identifies high‑risk condition, allergies, available ICU bed, and specialist
• Twilio PSTN dispatches ambulance CAD alert
• Hospital bed status updated to unavailable
• Automated follow‑up call confirms admission

Доказательства

Traditional LLM chatbots guess medical advice probabilistically. In an emergency, a hallucinated drug recommendation or delayed triage is catastrophic.

Источник

We replaced hallucinating LLMs with a 0.31ms 5‑hop FalkorDB traversal to connect voice symptoms directly to verified ICU beds and doctors across India.

Источник

CareGraph AI unites FalkorDB, LiveKit WebRTC, Murf Falcon TTS, and Twilio PSTN into a closed‑loop emergency triage system

Источник