Give doctors
their time back.
35% of a doctor's day is lost to documentation. Doc-Note listens to patient-doctor conversations in real time and auto-generates structured SOAP notes, diagnostic insights, and prescriptions — so the clinician can focus on the patient.
The Real Problem
Doctors became doctors
to heal, not to type.
The documentation crisis is burning out the world's best clinicians. Every hour spent on notes is an hour not spent on patients.
of a physician's working day goes to documentation, not patient care
average time spent on clinical notes after the workday ends
of US physicians report burnout symptoms — documentation is the #1 cited cause
"The world has an AI tool for every professional. Doctors are last in line. Doc-Note fixes that."
— DESHA.AI Blueprint v3.0, March 2026
The Solution
Listen. Understand.
Document. Automatically.
Doc-Note uses a multi-AI agent framework powered by ElevenLabs voice AI and DeepGram ASR to capture, transcribe, and structure any clinical conversation in real time.
1. Listen
Doc-Note listens to the patient-doctor conversation via the browser or mobile app. DeepGram ASR transcribes in real time with clinical vocabulary tuning — no microphone setup required.
2. Analyse
9 specialised AI agents work in parallel — summarising, reasoning, predicting, flagging — each adding a clinical layer to the raw transcript without the doctor lifting a pen.
3. Document
A complete SOAP note — HPI, ROS, PE, Assessment, Plan — is auto-generated, reviewed, and exported to any EHR system in minutes. No after-hours typing. No missed details.
Powered by best-in-class AI
Medical-vocabulary speech recognition with >95% accuracy — even through accents and ambient clinic noise
Natural AI voice for patient-facing interactions and caregiver follow-up calls in 72 languages
9 specialised agents run in parallel — not sequentially — for sub-second comprehensive clinical analysis
AI Modules
9 agents.
One consultation.
Each agent handles a distinct clinical intelligence task. Together, they turn a single conversation into a complete clinical record.
Conversation Summary
Generates a concise, structured summary of the full patient-doctor conversation — chief complaints, history highlights, treatment discussions, and patient concerns — in seconds.
Seasonal Considerations
Context-aware analysis that enriches the clinical picture with environmental and seasonal health signals — an layer no manual note-taker would think to add.
Medication Recommendations
Intelligent medication suggestions cross-referenced with patient allergy history and current drug list — reducing polypharmacy risk at the point of prescribing.
Disease Predictions
AI-driven predictive analysis surfaces early warning signals and differential diagnosis support — helping doctors catch conditions before they become crises.
Plus 5 more specialised agents:
Clinical Reasoning
Structured decision support with transparent reasoning — decision trees, evidence correlation, clinical pathway guidance.
Recommended Tests
Evidence-based diagnostic test suggestions aligned with clinical guidelines, cost-effectiveness, and insurance compatibility.
Conversation Analysis
Deep linguistic analysis — patient sentiment, communication quality, risk factor identification, and doctor-patient rapport scoring.
Patient Education
Auto-generates personalised after-visit care instructions, lifestyle recommendations, and follow-up scheduling in plain language.
Quality Metrics
Consultation completeness scoring, documentation quality assessment, and clinical outcome tracking for continuous improvement.
Doc-Note knows what happened
between appointments.
Standalone clinical AI tools only see what happens in the room. Doc-Note is connected to Med-Note and HRS — so before the patient even speaks, the doctor can see their medication adherence history, HRS trend, and missed doses from the past 90 days.
This is the clinical layer that closes the loop: prescribing doctor → patient adherence → data back to the prescribing doctor. No other platform does this.
Trusted by clinicians
Real feedback from physicians using Doc-Note.
"Doc-Note cut my documentation time in half without sacrificing quality. The SOAP structure is spot on — and knowing a patient's adherence history before they walk in is a game changer."
"The clinical reasoning and test recommendations help me justify decisions and communicate with patients far more effectively. My consultations are faster and more thorough."
"Exporting into our EHR templates is seamless. My team loves the accuracy on medical terminology. I spend evenings with my family now, not finishing notes."
Is Doc-Note HIPAA compliant? ▾
Doc-Note supports HIPAA-ready workflows. PHI can be redacted in exports, and all data is processed with AES-256 encryption at rest and in transit. Full DPIA has been conducted under GDPR requirements.
How accurate is the transcription for medical terminology? ▾
DeepGram ASR is tuned for clinical vocabulary and achieves >95% accuracy in controlled conditions. It handles accents, medication names, and specialty jargon. Doctors review and approve notes before export.
Does it integrate with my EHR system? ▾
Export as structured text or template blocks compatible with common EHR systems including Epic, Cerner, and AllScripts. Custom FHIR-compatible templates are supported for enterprise deployments.
Can I access patient adherence data from Med-Note in Doc-Note? ▾
Yes — when the patient's prescribing doctor is linked in Med-Note, their adherence history and HRS Score are available in the Doc-Note pre-consultation briefing. Patient consent is required for cross-platform data sharing.
How do I try the live demo? ▾
Visit docnote.desha.ai to access the live demo. No signup required to explore the core capabilities. Contact us for a guided clinical walkthrough.
For Clinicians
Stop documenting.
Start healing.
The live demo is running now. Walk into a consultation, let Doc-Note listen, and walk out with a complete clinical record — in minutes.