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Introduction

Welcome to the LyfeAI Provider documentation. LyfeAI Provider is a demonstration medical AI system built with Next.js that showcases how healthcare professionals could manage patients, integrate with FHIR data sources, and leverage AI-powered medical insights.

⚠️ Important: This is a development/demonstration platform. Many features are UI demonstrations with mock data. See the features documentation for details on what's actually implemented.

Features​

✅ Fully Implemented​

  • Patient Management: Real database storage with demographics, conditions, medications, and allergies
  • FHIR Integration: Complete parser for FHIR Patient resources and Bundles
  • AI Document Processing: Extract patient data from documents using GPT-4 (with fallback to simulation)

🟨 Partially Implemented​

  • Role-Based Access Control: UI respects roles but uses mock authentication
  • AI Clinical Assistant: Methods implemented but not fully integrated

🎨 UI Demonstrations Only​

  • Communication: Chat and video UI exists but no real messaging
  • Orders & Results: Full UI but uses static mock data
  • Scheduling: Smart scheduling UI with simulated optimizations
  • Analytics: Beautiful dashboards with mock metrics

Getting Started​

To get started with LyfeAI Provider:

  1. Install the application
  2. Configure your environment
  3. Set up the database
  4. Explore the features

Technology Stack​

Core Technologies​

  • Frontend: Next.js 14.2.16 with App Router, React 18, Tailwind CSS
  • UI Components: shadcn/ui (Radix UI primitives)
  • Database: PostgreSQL via Supabase (5 tables implemented)
  • Authentication: Mock localStorage system (not production-ready)

Integrations​

  • AI: OpenAI GPT-4 (optional - falls back to simulation)
  • Medical Standards: FHIR R4 parser with Medplum types
  • Real-time: Not implemented (UI only)
  • File Storage: Not implemented

Current State Summary​

This platform demonstrates:

  • ✅ Working foundation: Real database, AI integration, FHIR parsing
  • 🟨 Partial features: Many components with limited backend
  • 🎨 UI demonstrations: Rich interface showing future capabilities
  • ❌ Not production-ready: Missing security, integrations, and many backend features

See the handoff documentation for a detailed assessment.