CarePeers

CarePeers Technical Specification

System Architecture

CarePeers is built as a modern web application with a clear separation between frontend and backend components:

Frontend

  • Framework: React with TypeScript
  • State Management: Zustand for application state
  • UI Components: Shadcn UI with TailwindCSS for styling
  • Form Handling: React Hook Form with Zod validation
  • Data Fetching: TanStack Query for efficient data fetching and caching
  • Routing: Wouter for lightweight client-side routing
  • Video Communication: LiveKit for real-time video sessions
  • Charting/Visualization: Recharts for health data visualization

Backend

  • Server: Express.js API server
  • Database: PostgreSQL with Drizzle ORM and Zod validation
  • Authentication: Custom JWT-based authentication system with role-based access control
  • Data Storage: Hybrid approach with relational DB and Google Cloud Storage for larger files
  • External Services: Integration with Stripe for payments, Google Sheets API for data import/export
  • Real-time Communication: WebSockets for alerts and notifications

Infrastructure

  • Deployment: Containerized application deployed on cloud infrastructure
  • Scaling: Horizontal scaling capabilities for increased load
  • Monitoring: Performance monitoring and error tracking
  • Security: HTTPS, encrypted database, secure authentication flows

Core Data Structures

The system utilizes several primary data entities:

User System

  • Users: Core user accounts with role-based permissions (client, family, caregiver, admin)
  • Family-Client Relationships: Mapping between family members and clients with specific permission levels
  • Subscription Plans: Free, Silver, and Platinum tiers with different feature access levels

Health Data

  • Diagnoses: Medical diagnoses with ICD-10 codes and categorization by specialty
  • Lab Tests: Structured laboratory results with reference ranges and trending capabilities
  • Vital Signs: Regular measurements of standard vitals (BP, pulse, temperature, etc.)
  • Symptoms: Subjective symptom reporting with severity scales
  • Medications: Comprehensive medication tracking with dosages and schedules
  • Health Events: Significant health occurrences (hospitalizations, procedures, etc.)
  • Wellness Logs: Daily tracking of general wellness metrics (sleep, nutrition, etc.)

Care Coordination

  • Video Sessions: Scheduled or on-demand video calls between users
  • Care Plans: Structured care instructions for daily management
  • Care Assessment: Detailed needs assessment for new clients
  • Alerts/Rules: Configurable alerting thresholds for health metrics
  • Health Insights: System-generated observations based on collected data

Key Technical Components

Patient Health Tracking

The system implements specialized tracking for different medical conditions:

  1. Condition-Specific Dashboards

    • Dedicated trackers for specific patients (e.g., Soo-Health-Tracker, Ming-Health-Tracker)
    • Automatic filtering of relevant lab tests and health data by condition
    • Custom visualization components for different health metrics
  2. Health Timeline System

    • Chronological view of all health events, appointments, and significant measurements
    • Filtering capabilities by date range, event type, and medical specialty
    • Interactive visualization allowing drill-down into specific events
  3. Lab Data Management

    • Structured storage of lab results with reference ranges
    • Trend visualization with abnormal value highlighting
    • Support for various measurement units and automatic conversion
  4. Data Import/Export Framework

    • Google Sheets integration for batch data import
    • Google Cloud Storage integration for document management
    • CSV export capabilities for sharing with healthcare providers
    • Future API interfaces for EHR system integration

Multi-User Access Control

  1. Role-Based Permissions

    • Client-level data access limited to authorized users
    • Granular permission controls for sensitive data categories
    • Audit logging of all data access and changes
  2. Family Member Portal

    • Multi-client selector for family members managing multiple relatives
    • Dashboard with cross-client overview for family caregivers
    • Customizable notification preferences for health alerts
  3. Care Provider Interface

    • Client assignment and care schedule management
    • Documentation tools for care delivery
    • Communication channels with family members and clients

Real-Time Communication

  1. Video Consultation Module

    • Scheduled and on-demand video sessions
    • Multi-party video support for family conferences
    • Screen sharing for reviewing health data together
    • Recording capabilities for important sessions (with consent)
  2. Messaging System

    • Direct messaging between platform users
    • Contextual messaging tied to specific health events or care tasks
    • Notification system for unread messages and important updates

System Integrations

  1. Payment Processing

    • Stripe integration for subscription management
    • Automated billing and payment receipt generation
    • Subscription tier management
  2. External Data Sources

    • Google Sheets API for importing health records
    • Google Cloud Storage for document management
    • Future integrations with wearable devices and home monitoring equipment

Security & Compliance Considerations

The platform implements comprehensive security measures:

  1. Data Protection

    • End-to-end encryption for all sensitive health data
    • Strict data separation between different client accounts
    • Automatic data redaction for unauthorized users
  2. Authentication & Authorization

    • Secure credential management with password hashing
    • JWT-based session management with appropriate timeouts
    • Multi-factor authentication capabilities
  3. Compliance Framework

    • HIPAA-aligned data handling practices
    • Audit trails for all data access and modifications
    • Secure data deletion processes when required

Technical Implementation Details

Diagnosis-Specific Data Separation

The implementation maintains strict separation of patient data:

// Diagnosis-specific data retrieval (pseudocode)
async function getClientHealthData(clientId, options) {
  // Get client's diagnosis information first
  const clientDiagnoses = await getDiagnosesForClient(clientId);
  
  // Filter health data based on diagnosis and specialties
  const relevantLabTests = await getLabTestsForUser(
    clientId, 
    { 
      specialtyArea: getSpecialtiesFromDiagnoses(clientDiagnoses),
      ...options 
    }
  );

  return {
    diagnoses: clientDiagnoses,
    labTests: relevantLabTests,
    // Other relevant data similarly filtered
  };
}

Custom Health Metrics Visualization

The system implements specialized visualization components for different health metrics and conditions:

// Component for rheumatology metrics (pseudocode)
function RheumatologyMetricsChart({ patientId, timeRange }) {
  // Fetch relevant inflammation markers
  const { data, isLoading } = useQuery({
    queryKey: ['/api/health/labs', patientId, 'rheumatology'],
    queryFn: () => fetchLabsBySpecialty(patientId, 'rheumatology', timeRange)
  });

  if (isLoading) return <SkeletonLoader />;

  // Transform data for visualization
  const crpData = transformLabDataForChart(data.filter(lab => lab.testName === 'CRP'));
  const wbcData = transformLabDataForChart(data.filter(lab => lab.testName === 'WBC'));

  return (
    <div className="metrics-container">
      <h3>Inflammation Markers</h3>
      <LineChart data={crpData} dataKey="value" nameKey="date" />
      <LineChart data={wbcData} dataKey="value" nameKey="date" />
      <LabValueTable data={data} referenceRanges={getReferenceRanges()} />
    </div>
  );
}

Family-Client Data Management

The solution implements client selection and permission-based data filtering:

// Family member client selection (pseudocode)
function ClientSelector() {
  const { user } = useAuth();
  const { 
    selectedClient, 
    setSelectedClient, 
    availableClients 
  } = useClientStore();
  
  useEffect(() => {
    // Load available clients for this family member
    if (user && user.role === 'family') {
      fetchAvailableClients(user.id);
    }
  }, [user]);
  
  return (
    <Select
      value={selectedClient?.id.toString()}
      onValueChange={(value) => {
        const client = availableClients.find(c => c.id.toString() === value);
        setSelectedClient(client);
      }}
    >
      {availableClients.map(client => (
        <SelectItem key={client.id} value={client.id.toString()}>
          {client.displayName}
        </SelectItem>
      ))}
    </Select>
  );
}

Development and Deployment Workflow

Development Process

  1. Environment Setup

    • Local development with Docker containers
    • Development database with anonymized test data
    • Integration testing with API contract validation
  2. CI/CD Pipeline

    • Automated testing with Jest and React Testing Library
    • Continuous integration with GitHub Actions
    • Automated deployment to staging and production environments
  3. Quality Assurance

    • Accessibility testing for WCAG compliance
    • Security scanning for vulnerabilities
    • Performance testing for application responsiveness

Deployment Process

  1. Staging Deployment

    • Review environment with snapshot of production data
    • User acceptance testing before promotion
    • Performance profiling and optimization
  2. Production Deployment

    • Blue/green deployment strategy to minimize downtime
    • Automated database migrations with safety checks
    • Post-deployment monitoring and error tracking
  3. Maintenance Procedures

    • Regular security updates
    • Database optimization and performance tuning
    • Backup and disaster recovery processes

Future Technical Enhancements

The roadmap includes several planned technical enhancements:

  1. Machine Learning Integration

    • Predictive analytics for health deterioration
    • Pattern recognition for symptom correlation
    • Personalized care recommendation engine
  2. Enhanced Interoperability

    • FHIR-compliant API for healthcare system integration
    • Direct EHR connectivity
    • Health information exchange capabilities
  3. Advanced Monitoring

    • Wearable device integration
    • Remote monitoring equipment connections
    • Automated vital sign collection
  4. Mobile Platform Expansion

    • Native mobile applications
    • Offline functionality
    • Push notification system

This technical specification provides a comprehensive overview of the CarePeers platform architecture, data structures, and implementation approaches. The system is designed with scalability, security, and user experience as primary considerations while addressing the specialized needs of elderly care coordination.

CarePeers Business Overview

Executive Summary

CarePeers is an advanced remote care management platform designed to streamline communication and support for elderly patients with complex multi-specialty medical conditions, their families, and caregivers through innovative technological solutions. The platform addresses the critical need for better coordination of care, enhanced monitoring of health conditions, and improved quality of life for seniors with complex care needs.

Market Need

The aging population presents significant care challenges:

  • Complex Care Requirements: Elderly patients often require care across multiple medical specialties including dental, rheumatology, infectious disease, internal medicine, cardiovascular, pulmonary, and gastroenterology.
  • Coordination Challenges: Families struggle to manage multiple providers, appointments, medications, and treatment plans.
  • Data Fragmentation: Health data is typically scattered across different providers and systems.
  • Geographic Separation: Family members often live far from elderly relatives, making direct care monitoring difficult.
  • Caregiver Burden: Professional and family caregivers face significant stress and burnout without proper support systems.

Solution Overview

CarePeers addresses these challenges through a comprehensive platform that includes:

Key Features

  1. Multi-Specialty Health Tracking

    • Comprehensive health timeline recording across medical specialties
    • Diagnosis-specific data visualization and tracking
    • Medication management with dosage tracking and reminders
    • Lab result tracking with trend visualization
  2. Personalized Care Management

    • Customized care plans for specific conditions
    • Daily wellness monitoring with symptom tracking
    • Intelligent health trend alerts for early intervention
    • Physician-friendly data exports for medical appointments
  3. Connected Care Network

    • Secure video communication between family members, caregivers, and patients
    • Role-based access controls to maintain privacy while enabling coordination
    • Cultural matching for caregivers to enhance comfort and compliance
    • Care quality metrics to ensure consistent, high-quality support
  4. Data Integration & Security

    • Interoperability with clinical systems (future enhancement)
    • Import/export capabilities for Google Cloud Storage and Google Sheets
    • HIPAA-compliant data storage and transmission
    • Strict data separation between clients to maintain privacy

Target Users

CarePeers serves five main user personas:

  1. Elderly Clients/Patients

    • Examples: Soo (with vasculitis, GERD, gastritis, diabetes, hyperlipidemia) and Ming (recovering from stroke)
    • Needs: Simplified access to their own health information, communication with care team, medication reminders
  2. Family Members

    • Needs: Remote monitoring of elderly relatives' health status, care plan management, coordination with caregivers and healthcare providers
  3. Professional Caregivers

    • Needs: Clear care instructions, efficient documentation, communication with family members, support for daily care activities
  4. Healthcare Providers

    • Needs: Comprehensive patient health history, trends in home monitoring data, efficient communication with family and caregivers
  5. Platform Administrators

    • Needs: System monitoring, user management, data oversight and security maintenance

Differentiation & Competitive Advantage

CarePeers distinguishes itself through:

  • Multi-Specialty Integration: Unlike single-condition management apps, CarePeers provides comprehensive tracking across medical specialties.
  • Family-Centered Design: The platform is built specifically for family members managing elderly care, not just for patients or providers.
  • Cultural Sensitivity: Matching of caregivers based on cultural background enhances communication and trust.
  • Data Richness: Comprehensive health tracking provides more valuable insights than simple medication or appointment reminders.
  • Interoperability Focus: Designed to work with, rather than replace, existing healthcare infrastructure.

Business Model

CarePeers implements a tiered subscription model:

  • Free Tier: Basic health tracking and communication tools
  • Silver Tier: Enhanced features including video calls, alerts, and basic reporting
  • Platinum Tier: Full platform access including advanced analytics, unlimited storage, priority support, and team collaboration features

Additional revenue streams may include:

  • Enterprise licensing for care agencies and healthcare systems
  • API access for integration with third-party systems
  • Premium service add-ons for specific care needs or specialties

Roadmap Overview

  1. Current Phase

    • Core platform with health tracking, communication, and basic care management
    • Detailed individual patient dashboards for specific conditions
    • Import/export capabilities for health data
  2. Short-Term (3-6 months)

    • Enhanced analytics and trend detection
    • Mobile application development
    • Expanded provider integrations
    • Advanced medication management system
  3. Long-Term (6-12 months)

    • AI-assisted care suggestions
    • Remote monitoring device integration
    • Telehealth service marketplace
    • International expansion with localization

Key Metrics

Success will be measured through:

  • User acquisition and retention rates across all user types
  • Health outcome improvements for patients
  • Reduction in emergency care utilization
  • Family member satisfaction and reduced caregiver burden
  • Platform engagement metrics (daily active users, session length, feature usage)
  • Subscription conversion and revenue growth

CarePeers represents a significant opportunity to transform elderly care coordination through technology, addressing a growing market need while potentially improving health outcomes and quality of life for seniors with complex conditions and their care networks.

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