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AI-powered healthcare documentation assistant that converts doctor-patient conversations into structured SOAP notes, prescriptions, and insurance forms in seconds

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Update: Was built using Claude for Anthropic + Accel Dev Day Hackathon 2024 to showcase Sonnet 4.5 and was selected among the top submissions, earning me an invite to their Dev Day Community Showcase event.

🏥 MedScribe AI

AI-Powered Healthcare Documentation Assistant

Streamline medical documentation with real-time audio transcription and intelligent SOAP notes generation powered by Claude Sonnet 4.5.


🎯 The Problem

Indian healthcare providers spend 30-40% of their time on documentation instead of patient care. Manual transcription leads to:

  • Documentation errors
  • Insurance claim rejections
  • Compliance issues
  • Physician burnout

💡 Our Solution

MedScribe AI converts doctor-patient conversations into comprehensive medical documentation in seconds:

SOAP Notes - Structured clinical documentation
ICD-10 Codes - Automatic diagnosis coding
Prescription Generation - Properly formatted prescriptions
Insurance Forms - Pre-filled claim summaries for Indian insurers


🚀 Features

  • 🎤 Real-time Audio Recording - Record consultations directly in the app
  • 📁 Audio Upload - Process pre-recorded consultation audio files
  • ⌨️ Text Input - Manual transcript entry option
  • 🧠 AI-Powered Documentation - Claude Sonnet 4.5 generates comprehensive medical records
  • 🎙️ Accurate Transcription - Groq Whisper for high-quality speech-to-text

🛠️ Tech Stack

  • Frontend: Streamlit
  • AI Model: Claude Sonnet 4.5 (via OpenRouter API)
  • Transcription: Groq Whisper Large V3
  • Language: Python 3.9+

📦 Installation

Prerequisites

  • Python 3.9 or higher
  • API Keys (included in code for hackathon demo)

Setup

# Clone the repository
git clone https://github.com/yourusername/medscribe-ai.git
cd medscribe-ai

# Install dependencies
pip install -r requirements.txt

# Run the application
streamlit run app.py

The app will open in your browser at http://localhost:8501


🎬 How to Use

  1. Choose Input Method:

    • Record audio live
    • Upload an audio file
    • Type/paste a transcript
  2. Process:

    • Click "Generate Documentation"
    • Audio is transcribed using Whisper
    • Claude generates comprehensive medical docs
  3. Review Output:

    • SOAP notes
    • ICD-10 diagnosis codes
    • Prescription format
    • Insurance claim summary

🎯 Use Cases

For Healthcare Providers

  • Reduce documentation time by 70%
  • Improve accuracy with AI-powered structuring
  • Focus on patient care instead of paperwork

For Clinics & Hospitals

  • Standardize documentation across providers
  • Improve insurance claim acceptance rates
  • Ensure compliance with medical standards

For Patients

  • Better care - doctors spend more time listening
  • Faster processing - instant documentation
  • Improved accuracy - reduced errors in medical records

📊 Market Opportunity

  • 500,000+ doctors in India
  • 70,000+ hospitals and clinics
  • Average doctor sees 30-50 patients/day
  • $2B+ healthcare documentation market

Pricing Model (Future)

  • ₹5 per consultation documentation
  • ₹15,000/month for a clinic (100 patients/day)
  • Enterprise plans for hospital chains

🎥 Demo Video

https://youtu.be/7eJ6WoFBpMk

Demo Highlights:

  1. Live audio recording of doctor-patient conversation
  2. Real-time transcription
  3. Instant generation of SOAP notes, codes, and prescription
  4. Clean, professional output ready for medical records

🔮 Future Roadmap

Phase 1 (Months 1-3)

  • Multi-language support (Hindi, Tamil, Telugu, Bengali)
  • Voice commands for hands-free operation
  • Mobile app for on-the-go documentation

Phase 2 (Months 4-6)

  • HMS (Hospital Management System) integrations
  • Historical patient context awareness
  • Custom templates for specialties (Cardiology, Pediatrics, etc.)

Phase 3 (Months 7-12)

  • Real-time documentation during consultation
  • Insurance claim auto-submission
  • Analytics dashboard for clinic management
  • Compliance checks and alerts

🏆 Why MedScribe AI Wins

Solves Real Pain - Doctors desperately need documentation help
Clear ROI - 70% time savings = more patients = more revenue
Technical Excellence - Multi-modal AI (audio → text → structured data)
Market Ready - Can launch to clinics immediately
Scalable - Cloud-based, API-first architecture


🧠 How We Use Claude Sonnet 4.5

Claude Sonnet 4.5's advanced reasoning capabilities are perfect for medical documentation:

  1. Medical Knowledge - Understands clinical terminology and context
  2. Structured Output - Generates properly formatted SOAP notes
  3. Code Extraction - Identifies relevant ICD-10 diagnosis codes
  4. Context Awareness - Connects symptoms, diagnosis, and treatment logically
  5. Safety - Maintains medical accuracy and professional standards

The model's ability to reason through unstructured conversation and produce standardized medical documentation is what makes MedScribe AI possible.


👥 Team

Built for the Anthropic + Accel Dev Day Hackathon 2024

Jayanth Neelaiahgari


📄 License

MIT License - Free for hackathon evaluation


🙏 Acknowledgments

  • Anthropic for Claude Sonnet 4.5
  • Groq for lightning-fast Whisper transcription
  • OpenRouter for API access

📞 Contact

For questions, partnerships, or demo requests:


Built with ❤️ for Indian Healthcare

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