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Features Documentation

This section provides documentation for features in the LyfeAI Provider system.

⚠️ Current State: This is a development/demonstration system. Many features shown in the UI are mock implementations or demonstrations. This document clearly distinguishes between fully implemented features and those that are UI-only.

Implementation Status Key​

  • ✅ Fully Implemented - Complete with backend functionality
  • 🟨 Partial Implementation - UI with some backend, but incomplete
  • 🎨 UI Demo Only - User interface exists but uses mock data
  • ❌ Not Implemented - Planned but not yet built

Core Features​

Patient Management ✅​

  • Patient Records - Comprehensive patient data management
    • ✅ Full CRUD operations with PostgreSQL database
    • ✅ Demographics, medical history, medications, allergies
    • ✅ Real database storage and retrieval
    • 🟨 Insurance info stored but not processed

Document Processing & FHIR ✅​

  • Document Intelligence - Extract data from medical documents
    • ✅ AI-powered extraction using OpenAI GPT-4
    • ✅ Falls back to simulated extraction without API key
    • ✅ Structured data extraction to patient records
  • FHIR Integration - Import standard medical data
    • ✅ Complete FHIR patient bundle parsing
    • ✅ Extracts conditions, medications, allergies, observations
    • ✅ Type-safe implementation with Medplum types

Clinical Features 🟨​

AI Clinical Assistant 🟨​

  • ✅ AI service methods implemented
  • ✅ Treatment recommendations, drug interactions, risk assessment
  • 🟨 Not fully integrated with patient workflow
  • 🎨 UI shows capabilities but uses simulated responses when AI unavailable

Care Plans 🎨​

  • Care Plans - Patient care planning
    • 🎨 UI component exists
    • ❌ No backend implementation
    • 🎨 Static display only

Orders & Results 🎨​

  • Lab & Imaging Orders - Order management
    • 🎨 Full UI interface
    • 🎨 Mock data from lib/data.ts
    • ❌ No real order processing
    • ❌ No results ingestion

Communication Features 🎨​

Patient Communication 🎨​

  • Messaging - Patient-provider communication
    • 🎨 UI components for chat interface
    • 🟨 Server actions exist but return mock data
    • ❌ No real messaging infrastructure

Video Consultations 🎨​

  • 🎨 UI buttons and scheduling interface
  • 🎨 Returns simulated meeting URLs
  • ❌ No actual video/telehealth integration

Analytics & Insights 🟨​

Predictive Analytics 🟨​

  • ✅ AI methods for risk prediction
  • 🎨 UI displays risk scores
  • 🟨 Uses simulated data when AI unavailable
  • ❌ No real-time data pipeline

Analytics Dashboard 🎨​

  • 🎨 Beautiful charts and visualizations
  • 🎨 All data is mocked
  • ❌ No real metrics calculation
  • ❌ No data aggregation backend

Scheduling 🎨​

  • Smart Scheduling - AI-optimized appointments
    • 🎨 Full UI component
    • 🎨 Mock optimization suggestions
    • ❌ No calendar integration
    • ❌ No provider availability tracking

Administrative Features 🟨​

User Management 🟨​

  • ✅ Basic user CRUD in admin panel
  • ✅ Role-based access control (RBAC)
  • 🟨 Uses mock authentication system
  • ❌ No real auth provider integration

Feature Details​

What's Actually Working​

  1. Patient Data Management

    // Real database operations
    - Create, read, update patients
    - Store medical history
    - Manage medications and allergies
    - FHIR data import

  2. AI Document Processing

    // When OpenAI key is configured
    - Extract patient data from documents
    - Parse medical records
    - Generate patient summaries
    - Provide clinical insights

  3. Basic UI Navigation

    • All pages load and display
    • Navigation between sections works
    • Responsive design functions
    • Role-based UI visibility

What's Simulated​

  1. Clinical Workflows

    • Orders appear to be created but aren't stored
    • Results are static mock data
    • Care plans don't persist

  2. Communication

    • Messages appear in UI but aren't sent
    • Video calls show scheduling UI only
    • No real notifications

  3. Analytics

    • Charts display but use static data
    • Metrics don't reflect actual usage
    • Reports are pre-generated examples

Architecture Notes​

Backend Services​

  • Database: PostgreSQL via Supabase ✅
  • AI: OpenAI GPT-4 (optional) ✅
  • Authentication: Mock localStorage 🟨
  • Real-time: Not implemented ❌
  • File Storage: Not implemented ❌

Missing Infrastructure​

  • Message queue system
  • Notification service
  • Video conferencing API
  • Calendar/scheduling system
  • HL7/DICOM interfaces
  • Insurance/billing APIs

For Developers​

Adding New Features​

When implementing new features:

  1. Start with UI components
  2. Add mock server actions
  3. Plan real backend implementation
  4. Update this documentation

Current Limitations​

  • No real-time updates
  • No external integrations
  • Limited to demo data
  • No production security

Roadmap to Production​

Phase 1: Core Infrastructure​

  • Real authentication system
  • Secure session management
  • File upload/storage
  • Audit logging

Phase 2: Clinical Features​

  • Real order management
  • Results processing
  • Appointment scheduling
  • Messaging system

Phase 3: Integrations​

  • EHR connectivity
  • Lab interfaces
  • Insurance verification
  • Telehealth platform

Phase 4: Advanced Features​

  • Real-time notifications
  • Mobile applications
  • Advanced analytics
  • Population health

Summary​

The LyfeAI Provider platform demonstrates a vision for AI-powered healthcare with:

  • ✅ Solid foundation: Real database, AI integration, FHIR support
  • 🟨 Partial features: Many UI components with limited backend
  • 🎨 Demonstrations: Rich UI showing future capabilities
  • ❌ Production gaps: Security, integrations, real-time features

This is an excellent prototype and demonstration platform but requires significant development for production healthcare use.