Our Technology
Powered by an advanced multi-agent architecture built for medical accuracy and strict data confidentiality.
Multi-Agent AI Architecture
Clinical Workflow & Data Flow
End-to-end architecture from capture to EMR-ready output with security controls at each step.
1) Input & Capture
- • Web / mobile microphone
- • Session metadata
- • Consent event logging
2) Ingestion & Pre-processing
- • Audio chunking + normalization
- • Speaker diarization
- • Context assembly
3) Orchestration Layer
- • Task router
- • Prompt templates per specialty
- • Parallel scheduling queue
4) Parallel AI Agents
5) Validation & Guardrails
- • Quality completeness checks
- • PHI/PII detection and redaction
- • Policy rule enforcement
6) Output & Integrations
- • SOAP note + summary + referrals
- • RAMQ codes + prescriptions
- • PDF / DOCX / FHIR export to EMR
How it works: workflow + data flow
Clinical workflow
- Clinician starts recording and captures consent.
- Audio is transcribed and routed to specialized agents.
- SOAP, RAMQ, prescription, and forms are generated in parallel.
- Quality and PHI guardrails validate outputs.
- Clinician reviews, edits, signs, and exports to EMR.
Data flow
- • Input: audio stream + encounter metadata
- • Transformation: transcript + structured clinical context
- • Parallel outputs: SOAP note, codes, prescriptions, forms
- • Validation: policy checks, PHI detection, audit tagging
- • Delivery: PDF/DOCX/FHIR to EMR adapters
Modular architecture
Components can evolve independently as transcription, generation, and quality needs change.
Clinical review first
Automation supports clinicians, while final medical decisions remain fully human-controlled.
Operational traceability
Key processing steps are designed to be auditable and understandable by operations teams.
Cloud-Native Infrastructure
| Layer | Technology & Provider | Strategic Role |
|---|---|---|
| Frontend & Edge | Next.js, edge delivery network | Ultra-fast global delivery and optimized SEO |
| Backend & Orchestration | Node.js, cloud-native runtime | Autoscaling and microservices orchestration |
| Artificial Intelligence | Managed LLM + speech-to-text services | State-of-the-art medical model inference and transcription |
| Database & Security | Managed database, key management, policy controls | Quebec data residency and managed encryption |
Product evaluation access
Request a guided or self-serve evaluation flow adapted to your clinic context.
Open demo sandboxInteroperability roadmap
AuraScribe is designed around practical interoperability with clinic systems and documentation workflows.
Roadmap priorities include robust export formats, structured handoff options, and progressive integration capabilities.
