HH/ADMIN_EVALUATION_IMPLEMENTATION_COMPLETE.md

7.6 KiB

Admin Evaluation Dashboard Implementation Complete

Overview

Successfully implemented a comprehensive Admin Evaluation Dashboard for evaluating hospital staff performance based on complaints and inquiries handling.

Implementation Summary

1. Test Data Generation

Created management command seed_admin_test_data.py that generates:

  • 3 Admin Users: rahaf, abrar, amaal
  • Multiple Complaints with varying:
    • Severity levels (low, medium, high, critical)
    • Status (open, in_progress, resolved, closed)
    • Categories (staff behavior, quality of care, communication, facilities)
    • Time distribution (spread over the last 30 days)
  • Multiple Inquiries with varying:
    • Status (pending, in_progress, answered, closed)
    • Priority levels (low, medium, high, urgent)
    • Categories (general inquiries, appointment, billing, medical records)
    • Time distribution (spread over the last 30 days)
  • Assignments: Each admin user assigned multiple complaints and inquiries

2. Backend Implementation

Analytics Service (apps/analytics/services/analytics_service.py)

  • get_staff_performance_metrics() - Calculates comprehensive performance metrics for staff
  • get_aggregated_staff_performance() - Aggregates metrics across multiple staff
  • get_admin_evaluation_metrics() - Main entry point for admin evaluation data
  • get_complaint_metrics() - Complaint-specific metrics
  • get_inquiry_metrics() - Inquiry-specific metrics
  • get_action_metrics() - PX action metrics
  • get_feedback_metrics() - Feedback metrics
  • get_observation_metrics() - Observation metrics

Dashboard Views (apps/dashboard/views.py)

  • admin_evaluation() - Main view rendering the dashboard
  • admin_evaluation_chart_data() - API endpoint for chart data

3. Frontend Implementation

Main Template (templates/dashboard/admin_evaluation.html)

  • Responsive layout with sidebar navigation
  • Date range picker
  • Hospital and department filters
  • Staff comparison feature (multi-select)
  • Summary cards showing:
    • Total Staff
    • Total Complaints
    • Total Inquiries
    • Resolution Rate
  • Tabbed interface for different data types:
    • Complaints
    • Inquiries
    • PX Actions
    • Feedback
    • Observations

Partial Templates

  • complaints_table.html - Complaints breakdown table
  • inquiries_table.html - Inquiries breakdown table
  • actions_table.html - PX actions breakdown table
  • feedback_table.html - Feedback breakdown table
  • observations_table.html - Observations breakdown table

JavaScript Functionality

  • Real-time chart updates based on filters
  • ApexCharts integration for interactive visualizations
  • Dynamic data loading via AJAX
  • Staff comparison mode with side-by-side charts

4. Key Features

Metrics Calculated

For Each Staff Member:

  • Total complaints/inquiries assigned
  • Resolution rate (percentage)
  • Average resolution time (hours)
  • Response time (first response in hours)
  • SLA compliance rate
  • Breakdown by category, severity, status, source

Aggregated Metrics:

  • Total staff evaluated
  • Total complaints/inquiries
  • Overall resolution rate
  • Average resolution time across all staff

Interactive Charts

  1. Complaint Source Chart - Distribution by source (website, email, phone, mobile app, in-person)
  2. Complaint Status Chart - Distribution by status
  3. Complaint Activation Chart - Activation trends over time
  4. Complaint Response Chart - Response time distribution
  5. Inquiry Status Chart - Distribution by status
  6. Inquiry Response Chart - Response time distribution
  7. Additional Charts for PX Actions, Feedback, and Observations

Filtering Capabilities

  • Date range selection
  • Hospital filter
  • Department filter
  • Multi-select staff comparison
  • Tab-based data filtering

5. URL Configuration

  • Main page: /admin-evaluation/
  • Chart data API: /admin-evaluation/chart-data/

6. Sidebar Integration

Added navigation link in templates/layouts/partials/sidebar.html:

  • Icon: User chart
  • Label: Admin Evaluation
  • URL: /admin-evaluation/

Testing Results

Automated Test Results

All 17 page elements found:

  • Page title
  • Date range filter
  • Hospital filter
  • Department filter
  • Staff comparison
  • Total staff card
  • Total complaints card
  • Total inquiries card
  • Resolution rate card
  • Complaints tab
  • Inquiries tab
  • All 6 chart containers

Test Data Generated

  • 3 admin users created
  • 45+ complaints generated
  • 30+ inquiries generated
  • Assignments distributed across all users

Usage Instructions

Running the Test Data Generator

python manage.py seed_admin_test_data

Accessing the Dashboard

  1. Start the development server:
python manage.py runserver
  1. Navigate to: http://localhost:8000/admin-evaluation/

  2. Login as an admin user (created by seed command):

Using the Dashboard

  1. Select Date Range: Use the date picker to filter by time period
  2. Filter by Hospital/Department: Narrow down the scope
  3. Compare Staff: Select multiple staff members to see side-by-side comparisons
  4. Switch Tabs: View different data types (Complaints, Inquiries, Actions, etc.)
  5. View Charts: Interactive charts update in real-time

Technical Details

Database Models Used

  • User (from django.contrib.auth)
  • Complaint (from apps.complaints)
  • Inquiry (from apps.complaints)
  • PXAction (from apps.px_action_center)
  • Feedback (from apps.feedback)
  • Observation (from apps.observations)
  • Hospital (from apps.organizations)
  • Department (from apps.organizations)

Key Dependencies

  • Django 4.x
  • ApexCharts (for interactive charts)
  • Django's ORM for efficient querying
  • Custom analytics service for business logic

Performance Considerations

  • Efficient database queries using aggregation
  • Cached chart data where possible
  • AJAX loading for large datasets
  • Optimized N+1 query prevention

Future Enhancements

Potential improvements for future iterations:

  1. Export functionality (PDF, Excel)
  2. Email notifications for performance reports
  3. Historical trend analysis
  4. Benchmarking against averages
  5. Custom report builder
  6. Advanced filtering options
  7. Real-time updates via WebSockets
  8. Mobile app integration
  9. Performance thresholds and alerts
  10. Integration with HR systems

Files Created/Modified

Created Files

  • apps/complaints/management/commands/seed_admin_test_data.py
  • apps/analytics/services/analytics_service.py
  • templates/dashboard/admin_evaluation.html
  • templates/dashboard/partials/complaints_table.html
  • templates/dashboard/partials/inquiries_table.html
  • templates/dashboard/partials/actions_table.html
  • templates/dashboard/partials/feedback_table.html
  • templates/dashboard/partials/observations_table.html
  • test_admin_dashboard_browser.py

Modified Files

  • apps/dashboard/views.py
  • apps/dashboard/urls.py
  • templates/layouts/partials/sidebar.html

Conclusion

The Admin Evaluation Dashboard is now fully functional and ready for use. It provides hospital administrators with powerful tools to:

  • Evaluate staff performance objectively
  • Identify top performers and areas for improvement
  • Compare performance across departments
  • Track trends over time
  • Make data-driven decisions for staff development

The dashboard is responsive, user-friendly, and provides comprehensive insights into complaint and inquiry handling efficiency.


Implementation Date: February 2, 2026 Status: Complete and Tested