Building CareGraph AI: Autonomous Multilingual Voice & Knowledge Graph Healthcare Triage with FalkorDB
说明与用途
CareGraph AI利用FalkorDB即时识别语音输入中的危急情况,实现印度ICU床位和专家的快速分配。
问题
Emergency medical triage in India is slowed by hallucinating chatbots and disconnected hospital resources, causing critical delays in life‑saving decisions.
结果
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.
工作流
- 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
证据
Traditional LLM chatbots guess medical advice probabilistically. In an emergency, a hallucinated drug recommendation or delayed triage is catastrophic.
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.
CareGraph AI unites FalkorDB, LiveKit WebRTC, Murf Falcon TTS, and Twilio PSTN into a closed‑loop emergency triage system
- 记录日期: 2026-10-17T09:41:03.204Z