ML Powered Multilingual Medical Transcription & EHR Automation

MarianaAI revolutionizes clinical documentation with real-time, multilingual transcription and ML powered EHR summaries. Built for Indian healthcare workflows, it listens to doctor-patient conversations, understands medical context across languages, and automates SOAP notes with precision—reducing documentation time by over 85%.


Location: Global
Industry: Healthcare, HealthTech, Clinical AI
Services Provided: Voice-to-Text AI, Multilingual NLP, LLM Integration, EHR Workflow Automation, Doctor-Patient Transcription


Project Overview

Rewire HealthTech set out to solve a universal healthcare challenge—manual note-taking and EHR documentation that consumes valuable consultation time and introduces clinical risk. The goal was to build an intelligent, multilingual ML Powered system that could listen to doctor-patient conversations, convert them into structured clinical notes, and auto-fill the EHR—without disrupting the natural flow of a consultation.

TAS partnered with MarianaAI to architect a real-time, AI-driven transcription engine trained for Indian accents, medical terminology, and code-switching across English and vernacular languages. The platform supports clinics, hospitals, and telehealth providers in delivering faster, more accurate, and hands-free documentation—unlocking better care and doctor efficiency.


Key Features Delivered

🔹 Real-Time Voice-to-Text Engine

We developed a HIPAA-ready transcription engine that accurately captures doctor-patient conversations.

  • High-accuracy transcription in Hindi, English, Tamil, and Hinglish

  • Accent-tolerant medical speech recognition

  • Real-time feedback and editing interface for clinicians

🔹 LLM-Based Summarization & Structuring

Using a fine-tuned Large Language Model, free-flow conversations were converted into structured summaries and clinical notes.

  • SOAP (Subjective, Objective, Assessment, Plan) formatting

  • Auto-detection of symptoms, diagnosis, medications, vitals

  • ICD/CPT tagging and EHR-ready field mapping

🔹 Multilingual & Code-Switching Support

Doctors frequently switch between languages during consultations—our model handled this smoothly.

  • Built-in translation + context preservation

  • Adaptive vocabulary tuning for regional terms and pronunciations

  • Seamless toggling between spoken and medical terminologies

🔹 EHR Integration Layer

The output was built to plug directly into existing EHR systems via secure APIs.

  • Standardized data export (FHIR-compatible)

  • Consent workflow and access control

  • Custom mapping for clinic-specific EHRs

🔹 Doctor Dashboard & Feedback Loop

A lightweight, mobile-friendly dashboard allowed doctors to edit, approve, or reuse summaries post-consultation.

  • Editable transcript timeline with voice-linked cues

  • Suggested summaries with editable auto-fill

  • Voice command support for hands-free usage


Results & Impact

  • 85% reduction in time spent on manual EHR documentation

  • 30% more patients seen per day without added cognitive load

  • Enabled support for 10+ regional languages and dialects

  • Over 100,000+ consultations documented using MarianaAI within 6 months

  • Deployment across clinics and hospital networks in India, with global pilots underway

By eliminating the burden of clinical note-taking and making healthcare truly multilingual, MarianaAI empowers doctors to focus on care, not clicks. The solution is paving the way for AI-powered clinical workflows in India and emerging markets.