The Engine Behind the Intelligence

Built for Scale. Built for Care.

HealixAI isn't a wrapper. It's a purpose-built clinical orchestration layer that connects patient voice directly into structured EHR data.

Core Capabilities

Everything you need to automate clinical workflows securely.

Semantic Triage Engine

Semantic Triage Engine

Our proprietary NLP pipeline extracts symptoms, acuity, and timeline from natural patient conversations, automatically generating structured FHIR resources.

Voice First Visit Intake

Voice First Visit Intake

Empower patients to share their symptoms naturally through voice before their appointment. Our AI extracts key clinical information and provides a structured intake summary for the physician.

Reasoning Engine

Reasoning Engine

Proprietary LLM orchestration tailored specifically for medical taxonomy and clinical reasoning pathways.

FHIR Interoperability

FHIR Interoperability

Natively reads and writes to standard FHIR endpoints, ensuring seamless bi-directional EHR syncing.

Sub-500ms Voice Latency

Sub-500ms Voice Latency

Built on WebRTC and optimized streaming pipelines to ensure natural, conversational human-like interactions.

Enterprise Security

Enterprise Security

SOC2 Type II and fully HIPAA compliant. End-to-end encryption with zero data retention for model training.

Voice AI Engine Specifications

Purpose-built for zero-latency clinical voice exchange, our architecture separates speech processing from structured medical reasoning.

Speech Processing

  • Protocol: WebRTC (low-latency streaming) and WebSockets.
  • Audio Codec: PCM 16-bit, 16kHz audio sample rate.
  • VAD (Voice Activity Detection): Silero-based dynamic thresholding.
  • Transcription Latency: Real-time word-by-word streaming (< 150ms).

Clinical Reasoning

  • Model: HealixAI Clinical LLM Orchestration Layer.
  • Knowledge Grounding: Dynamic Retrieval-Augmented Generation (RAG).
  • Taxonomy Support: SNOMED-CT, ICD-10, LOINC, and RxNorm.
  • Privacy: TLS 1.3, HIPAA-secure in-memory data processing.

Example WebSocket Voice Stream (Node.js / Client)

JSON / Audio Binary
// Initialize streaming connection to HealixAI Clinical Voice Engine
const socket = new WebSocket('wss://api.healixai.com/v1/voice/stream');

socket.on('open', () => {
  // 1. Send configuration session payload
  socket.send(JSON.stringify({
    action: 'start_session',
    apiKey: 'your_api_key',
    config: { format: 'audio/l16', rate: 16000, language: 'en-US' }
  }));
});

// 2. Stream raw audio packets (PCM 16-bit 16kHz)
audioRecordStream.on('data', (pcmBuffer) => {
  if (socket.readyState === WebSocket.OPEN) {
    socket.send(pcmBuffer);
  }
});

// 3. Receive real-time clinical transcripts & structured triage FHIR resources
socket.on('message', (data) => {
  const response = JSON.parse(data);
  if (response.event === 'transcript') {
    console.log('Real-time text:', response.text);
  } else if (response.event === 'clinical_summary') {
    console.log('Structured FHIR Resource:', response.fhirBundle);
  }
});