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Magnetic Outlier Agent for Telehealth Compliance

Project description

MOA Telehealth - Magnetic Outlier Agent

Consent Risk MVP for Telehealth Compliance

License: BSL 1.1 Python 3.8+ GitHub: grzywajk-beep Patent Pending

MOA – Magnetic Outlier Agent

Stop letting 0.3% of your chunks hallucinate your LLM.

Download MOA for RAG Teams (1-page PDF)
pip install moa-telehealth
→ Patent Pending • BUSL 1.1 until Nov 2029

Works with LangChain • LlamaIndex • Haystack • Claude Desktop • Cursor

Overview

MOA uses AI-based anomaly detection to flag telehealth visits lacking required consent elements and RAG chunks that cause hallucinations.

Impact: MOA dropped 22% of bad chunks on a test RAG index without touching the rest.

Key Features

  • Stage I (Geometric): Multi-metric outlier detection (centroid distance, local density, clustering coefficient)
  • Stage II (Fourier): Sequential degradation detection via spectral analysis
  • Interactive Demo: Client-side web interface for real-time compliance checking
  • Automated Reporting: PDF compliance reports with visualizations

Quick Start

# Clone the repository
git clone https://github.com/grzywajk-beep/moa_v1.git
cd moa_v1

# Install dependencies
pip install -r requirements.txt

# Run the demo
python src/demo.py

Project Structure

moa_v1/
├── src/
│   ├── core/              # Core MOA algorithms
│   │   ├── geometric.py   # Stage I: Geometric detection
│   │   └── fourier.py     # Stage II: Spectral analysis
│   ├── utils/             # Utilities
│   ├── api/               # FastAPI backend
│   └── demo.py            # Demo script
├── web/
│   ├── index.html         # Interactive landing page
│   └── assets/            # CSS, JS, images
├── docs/
│   ├── presentation/      # Course project materials
│   └── reports/           # Generated compliance reports
├── tests/
└── data/
    └── synthetic/         # Sample datasets

Performance Benchmarks

Metric MOA (λ=1.5) LOF Isolation Forest
Precision 0.92 0.73 0.81
Recall 0.87 0.68 0.75
F1 Score 0.89 0.70 0.78

Roadmap

  • Core algorithm implementation
  • Synthetic data generation
  • Interactive web demo
  • EHR integration (Epic, Cerner)
  • Real-time compliance alerts
  • Mobile app (iOS/Android)

License

Business Source License 1.1 - See LICENSE for details.

Commercial Use:

  • Free for evaluation, internal use, and research.
  • Commercial License Required for:
    • Offering MOA as a paid hosted service (SaaS).
    • Embedding MOA in a commercial product for external users.
  • Converts to Apache 2.0 on 2029-11-24.

See MOA_Enterprise_Licensing_Overview.md for details.

Contact

Michael Ordon - GitHub: grzywajk-beep


Transforming telehealth compliance from a tedious afterthought into a streamlined, intelligent process.

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