AI Medical Scribe Agent
Review the note. Don't write it.
Records consultations, performs real-time transcription, identifies speakers, and generates structured clinical notes — including SOAP documentation — automatically.
Live transcript · Speaker ID
“Dr. Rao: How long have the symptoms lasted?”
AI Medical Scribe
Generating summary · ICD-10 suggestions · interaction check
Summary ready for review
SOAP note drafted · awaiting clinician approval
Dr. Rao
Speaker ID
18
Segments
Offline-safe
Status
From appointment to documentation to follow-up — connected end to end.
Capture the consultation live or offline — nothing is ever lost.
AI transcribes, identifies speakers, and analyzes the conversation.
Clinician reviews the summary, codes, and follow-ups, then approves.
This is an illustrative walkthrough of the AI Medical Scribe — from live, speaker-identified transcription to a structured summary ready for the clinician to review.
Real-time speaker identification
“Dr. Rao” vs. “Patient,” labeled automatically
Structured clinical summary
SOAP-style documentation drafted for review
Coding & safety checks
ICD-10 suggestions and drug-interaction flags included
AI Medical Scribe
Transcribing live
Each agent masters one part of the consultation — from the first conversation to the follow-up call — so documentation, coding, and care coordination happen without extra clicks.
Review the note. Don't write it.
Records consultations, performs real-time transcription, identifies speakers, and generates structured clinical notes — including SOAP documentation — automatically.
Guided conversations before the visit
Conducts intelligent patient conversations, collects symptoms and medical history, performs a preliminary clinical assessment, and guides patients before consultations — with multilingual support.
A second set of eyes on every medication
Drafts prescriptions, recommends medications, checks drug interactions, detects allergy conflicts, and suggests dosage adjustments for clinician review.
A first read, before the clinician's read
Analyzes X-rays, reviews CT scans and MRIs, assists with diagnostic interpretation, and generates preliminary findings for clinician review.
Care in 30+ Indian languages
Translates conversations in real time, supports 30+ Indian languages, generates multilingual summaries, and enables cross-language doctor-patient communication.
The patients who should come back, do
Schedules follow-ups, sends medication reminders, tracks treatment adherence, and notifies patients about upcoming consultations.
Beyond the scribe, MedConverse AI manages patients, appointments, follow-ups, and reporting in one multi-tenant, role-based workspace — and embeds directly into your existing HMS.
The core loop of the product: start, record, transcribe, analyze, review, and follow up — with one-tap start from the day's schedule and automatic session persistence.
Documentation isn't a single moment — it's a workflow. MedConverse AI automates every step without taking the clinician out of the loop.
The doctor taps Start on the appointment. The recording panel opens with a live level meter and duration timer.
Online, audio streams live for transcription. Offline, it's captured locally and uploads automatically the moment connectivity returns — nothing is ever lost.
Real-time speech-to-text with automatic speaker diarization labels the conversation as it happens — 'Dr. Smith' versus 'Patient' — with voice-profile identification.
AI generates a consultation summary, ICD-10 / causal coding suggestions, medication analysis, and drug-interaction flags — labeled AI-generated, for clinician review.
The analysis (or the doctor) recommends a follow-up. Staff convert it to an appointment or decline it — either way, nothing falls through the cracks.
MedConverse AI removes the after-hours charting without removing the clinician from the decision. Everyone touching a consultation benefits.
Reclaim documentation time and end after-hours charting. Full attention stays on the patient — the record writes itself, and coding suggestions and interaction flags reduce cognitive load while you stay in control of every decision.
Front desk, consult room, and follow-up in a single platform — less software, less training, and higher consult throughput per doctor per day. Follow-up automation recovers otherwise-lost repeat visits.
Embed into your existing HMS and go live in days via API keys and a drop-in widget. Multi-tenant administration across departments and branches, with granular roles, module flags, and central oversight.
Nurses get instant access to consult summaries and follow-up queues with less verbal-handoff loss. Receptionists register patients faster with duplicate detection, and Pulse handles lookups in plain language.
The Multilingual Communication Agent translates conversations in real time and generates multilingual summaries — enabling cross-language doctor-patient communication without an interpreter in the room.
Representative list — full language coverage is confirmed during onboarding.
Every consultation touches protected health information, and every AI output is a suggestion. Every decision is still the clinician's.
Organization-scoped data isolation is enforced server-side on every request — not just in the application layer.
Granular, server-side authorization from global admin down to day-to-day staff, with doctor-scoped visibility where needed.
JWT bearer authentication plus signed widget tokens for embedded HMS sessions, with server-side authorization on every endpoint.
Admin actions are logged and reviewable; centralized error tracking and health checks run across the platform.
Every AI clinical output — summaries, codes, medication flags — is advisory. Clinicians review and approve before anything enters the record.
Pulse's tenant isolation is enforced in SQL, not the prompt, and every AI write action requires explicit user confirmation before it happens.
Our security architecture is multi-tenant and role-based by design. Compliance certification (HIPAA, SOC 2) is in progress — we are not yet certified.
Everything clinic and hospital leaders ask before bringing AI into the consultation room.
No. Every summary, code, and flag is a suggestion. The clinician reviews, edits, and approves before anything enters the record.
Book a 20-minute demo — bring a sample consult and watch it become a structured chart note.
AI-assisted, clinician-approved · Works offline · Embeds in your HMS