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Scribe - AI-Powered Clinical Documentation & Patient Experience Platform

HackMIT Healthcare Track 2025

An intelligent multi-agent system that automates clinical documentation, generates SOAP notes, and enhances patient communication giving physicians their time back while improving healthcare delivery.

🏥 The Problem We're Solving

Healthcare providers spend 60-70% of their time on administrative tasks, with doctors averaging 2-3 hours daily on transcription and documentation. This $30B+ annual burden reduces patient face-time, increases physician burnout, and degrades the overall healthcare experience.

Hospital Validation: We spoke directly with Chiefs of IT at major regional hospitals who confirmed this is their #1 operational pain point and are actively seeking solutions like Scribe for integration.

🎯 Our Solution

Scribe transforms clinical workflows through a sophisticated multi-agent AI system that:

  • Transcribes conversations in real-time with medical context
  • Generates structured SOAP notes automatically
  • Handles patient communication and follow-up scheduling
  • Ensures HIPAA compliance throughout the process
  • Integrates with existing EHR systems seamlessly

🏗️ Multi-Agent Architecture

Screenshot 2025-09-14 at 12 21 20 PM

🛠️ Technology Stack & Sponsors

Core Infrastructure

  • Frontend: Next.js 14, React, TypeScript, Tailwind CSS

  • Backend: FastAPI, Python, WebSockets

  • Database: SQLite (demo)

  • AI Services: OpenAI GPT-4, Whisper API

  • 🚀 Quick Start

Prerequisites

  • Node.js 18+ and npm/yarn
  • Python 3.9+
  • OpenAI API key

One-Command Setup

  1. Start everything with the demo script

    # Make the script executable (first time only)
    chmod +x start.sh
    
    # Start both backend and frontend
    ./start.sh
  2. Set your OpenAI API key

    # Edit the backend environment file
    nano backend/.env
    
    # Add your OpenAI API key:
    OPENAI_API_KEY=your_openai_api_key_here
  3. Access the application

Sponsor Technologies

  • 🌊 Windsurf: Development environment and real-time collaboration
  • 🤖 Claude: Advanced medical reasoning and SOAP note generation
  • 🎤 Wispr: Note and inter-team communication
  • 🔧 Toolhouse: Multi-agent workflow orchestration
  • 🔗 Knot: Inter-agent communication protocol
  • 📊 Rox: Performance monitoring and optimization
  • ☁️ Eigencloud: Healthcare compliance and security categories
  • 🔌 Tandemnn: EHR integration API
  • ⚡ Modal: Scalable cloud infrastructure
  • 🤖 Toolhouse MCP: Automation protocols

📊 Market Validation

Market Opportunity

  • $4.6B clinical documentation market
  • 800,000+ US physicians spending 2+ hours daily on notes
  • Growing telehealth adoption increases documentation needs
  • Hospital buy-in confirmed through direct IT leadership conversations

🎯 Key Features

Real-Time Clinical Documentation

  • Live transcription with medical context understanding
  • Automated SOAP note generation with proper formatting
  • Integration with existing EHR systems via API
  • HIPAA-compliant data handling and storage

Patient Experience Enhancement

  • Automated follow-up email generation
  • Appointment scheduling and medication reminders
  • QR code sharing for patient access to summaries
  • Plain English explanations of medical information

Compliance & Quality Assurance

  • Built-in HIPAA compliance monitoring
  • Audit trail capabilities for all interactions
  • Quality checks for complete documentation
  • Regulatory compliance category management

📈 Impact Metrics

Quantifiable Benefits

  • Time Savings: 2-3 hours per physician per day
  • Cost Reduction: 40-60% decrease in documentation overhead
  • Quality Improvement: Standardized, complete clinical notes
  • Patient Satisfaction: Increased face-time and better communication

Competitive Advantages

  • Patient-Centric: Focus on UX, not just physician efficiency
  • Multi-Agent Intelligence: Specialized agents for different tasks
  • Compliance-First: Built-in HIPAA and regulatory compliance
  • EHR Agnostic: Works with existing systems
  • Hospital-Validated: Direct feedback from IT leadership

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  • TypeScript 52.9%
  • Python 40.4%
  • Shell 2.4%
  • CSS 2.2%
  • JavaScript 2.1%