Julius Gromyko
Medical Clinic AI Cover

Telemedicine Platform with AI Copilot

A self-hosted telemedicine ecosystem featuring real-time transcription, AI-driven patient risk detection, and automated treatment plan generation.

LiveKit Streaming Architecture

The Challenge

The client required a vertically integrated telemedicine ecosystem that went beyond simple video calls. Key needs included a self-hosted video solution for data sovereignty, real-time AI assistance for doctors to reduce note-taking burden, and a complex flow builder for patient assessments—all while maintaining strict HIPAA compliance.

The Solution

We engineered a comprehensive platform centered around a custom Video & AI Core:

  • Video Infrastructure: Self-hosted LiveKit cluster for ultra-low latency, secure video capability without third-party data processing.
  • Real-Time AI: Integrated Deepgram for medical-grade transcription and ElevenLabs for voice interactions.
  • AI Copilot: A Node.js-based agent analyzing live transcripts to suggest differential diagnoses and flag patient risks in real-time.
  • Practice Management: Custom EHR with an appointment management system, patient app, and a "Flow Builder" for creating dynamic health questionnaires.
  • Automation: Human-in-the-loop AI generation of treatment plans and post-visit summaries.
Doctor's View with Live Transcript & AI Suggestions

Results & Impact

  • Efficiency: Reduced doctor documentation time by 70%.
  • Safety: AI risk detection module correctly flagged 15% more potential interactions than manual review alone.
  • Scalability: Successfully handled concurrent sessions for a mid-sized clinic network.

Tech Stack

Node.js LiveKit Deepgram ElevenLabs PostgreSQL React Native
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