MedDiktat

AI-powered medical transcription tool aiming to assist doctors at private clinics to transcribe their medical examination and issue reports faster

Problem: Slovenian doctors waste hours manually transcribing patient notes, risking errors and burnout. Solution: Built a secure, AI-powered tool to automate medical dictation transcription while preserving doctor-specific formatting preferences.

Key Features:

Slovenian speech-to-text fine-tuned for medical terminology

Real-time transcription progress via WebSockets

GDPR-compliant patient data workflows

Custom formatting presets per doctor

Browser-based recording with auto-save fallback

My Role: Sole Full-Stack Developer & Product Designer Timeline: 3 months (MVP to launch)

Frontend:

Next.js (App Router) + Vite (React)

Shadcn UI + Tailwind

WebSockets for real-time updates

Backend:

Node.js 23 + Express + Typescript

PostgreSQL + Prisma ORM

Google Cloud Tasks (queue management)

AI/ML:

Google Vertex AI Speech-to-Text API

Custom model trained on 1,000+ doctor-corrected Slovenian transcripts

DevOps:

Dockerized monorepo (FE/BE/DB)

Hetzner VPS (Ubuntu 24) + Nginx

GCP Storage (temp) + Backblaze (archive)

Auth: Auth0 (JWT sessions + user caching)

Trained Vertex AI model using paired raw/corrected transcripts

Added context-aware correction (e.g., "kardio-log" vs "kardiolog")

Result: 95% accuracy for specialist terminology

Implemented WebSocket pipeline: Client → Cloud Task → Transcription API → Socket.IO → UI

Mocked 50% progress on task queuing to reduce perceived latency

End-to-end encryption for audio/files

Auto-purge temp GCP storage after processing

Live Demo: meddiktat.si

Technical:

Optimizing Google Speech-to-Text for low-resource languages

WebSocket-backed progress systems

Cost-effective hybrid cloud storage (GCP + Backblaze)

Business:

Doctors prioritize workflow preservation over "smart" features

Stakeholder education for AI accuracy expectations

Target Audience:

Slovenian private practitioners (orthopedics focus)

Specialists managing 20+ daily patient notes

Market Validation:

Pilot group of 2 physicians during beta testing