Every Feature a Doctor Needs.
Nothing They Don't.

Powered by faster-whisper running locally on your GPU, MedScribe converts doctor-patient conversations into text as they happen. No cloud dependency, no latency — just accurate, real-time transcription that handles medical terminology, accents, and noisy clinic environments.

• Whisper-powered with CTranslate2 backend (4x faster than original)
• Streaming transcription — text appears as the doctor speaks
• Handles medical jargon, drug names, anatomical terms natively
• Works in noisy OPD and clinic environments
• Supports audio upload for pre-recorded consultations

Every patient encounter is automatically structured into a clean, professional SOAP note. The local LLM extracts the chief complaint, history of present illness, review of systems, physical exam findings, assessment, and plan — all from a natural conversation. No templates to fill, no forms to click through.

• Subjective: Chief complaint, HPI, ROS, past history
• Objective: Vital signs, physical exam findings, lab mentions
• Assessment: Differential diagnosis, clinical impression
• Plan: Medications, follow-up, referrals, patient education
• Editable before saving — doctor always has final say

Stop guessing billing codes. As MedScribe generates the clinical note, it simultaneously maps diagnoses to ICD-10 codes and procedures to CPT codes — each with a confidence score. Doctors review and confirm. Revenue leakage from missed codes drops to near zero.

• ICD-10-CM diagnosis code suggestions with confidence %
• CPT procedure code mapping from clinical context
• SNOMED CT clinical terminology alignment
• Confidence scoring helps prioritise review
• Supports multiple codes per encounter

In a clinical conversation, it matters who said what. Pyannote-powered speaker separation automatically identifies the doctor and patient, labelling each segment of the transcript. The AI uses this to correctly attribute symptoms to the patient and assessments to the doctor.

• Pyannote-audio speaker identification
• Automatic doctor vs. patient labelling
• Supports 2+ speakers (nurses, family members)
• Context-aware attribution in clinical notes
• No pre-registration or voice enrolment needed

When a doctor mentions a medication during the conversation — 'let's put them on Amoxicillin 500mg three times a day for 5 days' — MedScribe captures it and drafts a structured prescription. Drug interaction checks run in the background, flagging potential issues before the doctor signs off.

• Extracts drug name, dosage, frequency, duration from speech
• Automatic drug interaction checking
• Allergy cross-reference from patient history
• Age-appropriate dosage validation
• Structured output ready for pharmacy systems

Clinical conversations in India don't happen in pure English. Doctors code-switch between Hindi and English mid-sentence, patients speak in their native language, and medical terms appear in Latin. MedScribe handles all of it — 6+ Indian languages plus fluent Hinglish support.

• English, Hindi, Tamil, Telugu, Bengali, Marathi
• Hinglish (Hindi-English code-mixed) support
• Medical terminology preserved regardless of language
• Whisper's 97-language model as the foundation
• Clinical notes always generated in English (configurable)

Patients bring paper prescriptions, old lab reports, and discharge summaries. MedScribe can scan and extract structured data from these documents — turning paper into searchable, structured medical data in seconds.

• OCR for handwritten and printed prescriptions
• Lab report data extraction and structuring
• Discharge summary parsing
• Extracted data linked to patient record
• Support for common Indian lab report formats

AI generates the note, but the doctor is always in control. A clean, distraction-free review interface shows the generated SOAP note, suggested codes, and draft prescription side by side. Edit anything with a click, approve with one button, and it flows to the EMR automatically.

• Side-by-side transcript and SOAP note view
• Inline editing of any section
• One-click approval workflow
• Revision history for every note
• Mobile-responsive for tablet use in wards

MedScribe doesn't make you wait until the conversation is over. Using SignalR WebSocket connections, the transcript streams to the doctor's screen in real time — word by word, as the AI processes the audio. It feels like live captioning, but smarter.

• WebSocket-based real-time streaming via SignalR
• Transcript appears as the doctor speaks
• Partial results update as context improves
• Works on desktop, tablet, and mobile browsers
• Low-latency even on standard clinic Wi-Fi

Track documentation patterns, average encounter times, code distribution, and AI accuracy across your practice. Administrators get a dashboard showing usage, productivity improvements, and areas where the AI needs human correction — so it keeps getting better.

• Encounters per day/week/month per doctor
• Average documentation time (before vs. after MedScribe)
• ICD-10/CPT code distribution analysis
• AI accuracy tracking and correction patterns
• Export reports as CSV or PDF

Every hospital, clinic, or practice gets their own isolated workspace. Patient data never crosses tenant boundaries. Administrators manage their own users, roles, and settings while the platform handles infrastructure, scaling, and updates centrally.

• Tenant-level data isolation (PostgreSQL row-level security)
• Role-based access control (Admin, Doctor, Nurse, Viewer)
• Per-tenant configuration and branding
• Centralised platform management for operators
• Self-service onboarding with 30-day free trial

MedScribe doesn't just document — it nudges. Incomplete notes get flagged for follow-up, pending approvals are surfaced, and critical findings trigger immediate alerts. Doctors stay on top of their documentation without having to remember.

• Pending note approval reminders
• Incomplete documentation alerts
• Critical finding notifications
• Configurable notification channels (in-app, email)
• Daily summary digest for administrators