From Conversation to Clinical Note, With Every Claim Verified
AI-generated clinical notes you can trust. Every sentence is grounded in transcript evidence, verified against medical knowledge bases, checked for hallucinations, and delivered in real time with full HIPAA compliance — so you can focus on what matters most: patient care.
Trusted, Evidence-Grounded Clinical Documentation
From real-time transcription to hallucination detection, every note is grounded in transcript evidence and verified against PubMed — so clinicians can trust what they read.
Core Platform
Rich Audio Transcripts
Produces turn-by-turn transcripts with word-level timestamps and automatic speaker role identification (patient vs. clinician).
Transcript Segmentation
Organizes conversation content into clinically relevant sections (Subjective, Objective, Assessment, Plan) for quick information retrieval.
Clinical Q&A
Ask clinical questions and get evidence-based answers powered by LLM and RAG from external medical knowledge bases and internal patient records.
Real-Time Transcription
Stream live audio for instant transcription with WebSocket support, perfect for in-session documentation.
HIPAA-Compliant Privacy
Built for healthcare with HIPAA-eligible architecture, automatic PII redaction, zero patient data retention, and full control over transcription storage.
Advanced Intelligence
AI Clinical Note Generation
Automatically generates structured clinical notes (SOAP, progress notes, discharge summaries) from patient-clinician conversations in real time.
Evidence Mapping
Every sentence in a generated note references the original transcript, enabling clinicians to verify accuracy and trace AI output back to its source.
Structured Medical Term Extraction
Automatically extracts clinical entities (conditions, medications, dosages, procedures) for downstream coding and workflow automation.
Hallucination Alert
Flags AI-generated content that cannot be grounded in the original conversation, giving clinicians clear visual warnings of unsupported claims.
Keyword Grounding
Anchors generated notes to specific keywords and phrases from the source transcript, ensuring clinical accuracy with auditable links.
Drug Info & Interactions
Instant access to drug details, adverse events, and interaction checks via OpenFDA and RxNorm integration.
EHR & Hospital Integration
Flexible and seamless integration with target clinics, EHR systems, and hospital deployments for streamlined workflows. Easy API access and support for custom connectors.
From Conversation to Clinical Note in Minutes
Record
Upload an audio file or start a live recording of the clinical encounter.
Transcribe
State-of-the-art Audio AI transcribes speech to text with speaker labels and PII redaction.
Generate
AI generates structured clinical notes, extracts medical terms, and maps evidence from the transcript.
Review
Clinicians review grounded notes with visual hallucination alerts and clear evidence links, then approve.
Trusted by Healthcare Professionals
“By cutting our documentation time, our physicians and nurses can finally focus on patient care instead of paperwork.”
Dr. Ella Huang
Professional Practice Consultant, Provincial Health Services
“This tool can be useful in situations where nurses cannot record information in a timely manner, such as wound care, stoma care, intravenous management, and emergency codes.”
Dr. Lori Block
Clinical Informatics Specialist, Vancouver Coastal Health
“In healthcare AI, trust is non-negotiable. We need tools that are HIPAA-compliant with zero data leakage, and that back every claim with evidence — not hallucination.”
Dr. Jun Ma
Machine Learning Lead, University Health Network
Meet the People Behind Med-Scribe
Xiaoxiao Li
Science Lead
Tenured professor at UBC, Canada Research Chair in Responsible AI, CIFAR AI Chair. Drives the research vision behind Med-Scribe, from hallucination detection to evidence-grounded clinical NLP.
Ruinan Jin
Machine Learning Lead
Audio and NLP machine learning expert. Architects the ML pipeline powering transcription, note generation, and medical term extraction.
Ryan Liu
Tech Lead
Over 10 years of experience in software engineering and databases. Leads platform engineering, from real-time audio infrastructure to HIPAA-compliant deployment and EHR integration.
See Med-Scribe in Action
Schedule a personalized demo and discover how Med-Scribe can transform your clinical documentation workflow.
- Live 30-minute personalized walkthrough
- See Med-Scribe configured for your specialty
- Q&A with our clinical and engineering team
- Get up and running in under a week