All work
HealthcareAISaaSMobile

MediScribe — Multilingual Ambient AI Clinical Scribe

Doctors talk to patients — in Hindi, Punjabi, English or German — and the notes write themselves.

Client
A multi-specialty hospital network
Industry
Healthcare
Year
2026
Timeline
8 months
MediScribe dashboard and mobile app
96 minsaved per doctor per day
4languages incl. code-mixing
94%notes approved with minor edits
<30 sfrom visit end to draft note
Overview

MediScribe listens (with consent) to doctor–patient conversations, understands code-switching between languages, and produces structured SOAP notes, ICD-10 codes, prescriptions and patient-friendly after-visit summaries — ready for one-tap approval inside the hospital's EHR.

The challenge

Doctors were spending up to two hours a day on documentation, often after clinic hours. Existing dictation tools failed with Indian multilingual conversations and required rigid commands.

Our solution

We combined a fine-tuned speech model for code-mixed speech with a medical LLM pipeline grounded in hospital formularies and coding rules. A clinician-in-the-loop UI highlights every AI-generated sentence with its source audio snippet so nothing is signed without verification.

Inside the platform

Key capabilities

01Ambient Capture

  • Mobile & desktop capture with consent flow
  • Speaker separation: doctor, patient, attendant
  • Code-mixed Hindi–Punjabi–English–German speech
  • Noise-robust for busy OPDs

02Clinical Intelligence

  • SOAP notes & specialty templates
  • ICD-10 & procedure code suggestions
  • Drug–drug interaction checks against formulary
  • Patient summaries in their own language

03Trust & Compliance

  • Every sentence linked to its audio evidence
  • On-prem inference option; encrypted at rest
  • HL7 FHIR integration with EHRs
  • Full audit trail for medico-legal needs
Gallery

Screens & experiences

Technology stack

Whisper (fine-tuned)ClaudeLangGraphFHIRKotlinSwiftPostgreSQLAzure

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