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 staffget_aggregated_staff_performance()- Aggregates metrics across multiple staffget_admin_evaluation_metrics()- Main entry point for admin evaluation dataget_complaint_metrics()- Complaint-specific metricsget_inquiry_metrics()- Inquiry-specific metricsget_action_metrics()- PX action metricsget_feedback_metrics()- Feedback metricsget_observation_metrics()- Observation metrics
Dashboard Views (apps/dashboard/views.py)
admin_evaluation()- Main view rendering the dashboardadmin_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 tableinquiries_table.html- Inquiries breakdown tableactions_table.html- PX actions breakdown tablefeedback_table.html- Feedback breakdown tableobservations_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
- Complaint Source Chart - Distribution by source (website, email, phone, mobile app, in-person)
- Complaint Status Chart - Distribution by status
- Complaint Activation Chart - Activation trends over time
- Complaint Response Chart - Response time distribution
- Inquiry Status Chart - Distribution by status
- Inquiry Response Chart - Response time distribution
- 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
- Start the development server:
python manage.py runserver
-
Navigate to: http://localhost:8000/admin-evaluation/
-
Login as an admin user (created by seed command):
- Username: rahaf@example.com (or abrar@example.com, amaal@example.com)
- Password: (use your existing password or set one)
Using the Dashboard
- Select Date Range: Use the date picker to filter by time period
- Filter by Hospital/Department: Narrow down the scope
- Compare Staff: Select multiple staff members to see side-by-side comparisons
- Switch Tabs: View different data types (Complaints, Inquiries, Actions, etc.)
- 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:
- Export functionality (PDF, Excel)
- Email notifications for performance reports
- Historical trend analysis
- Benchmarking against averages
- Custom report builder
- Advanced filtering options
- Real-time updates via WebSockets
- Mobile app integration
- Performance thresholds and alerts
- Integration with HR systems
Files Created/Modified
Created Files
apps/complaints/management/commands/seed_admin_test_data.pyapps/analytics/services/analytics_service.pytemplates/dashboard/admin_evaluation.htmltemplates/dashboard/partials/complaints_table.htmltemplates/dashboard/partials/inquiries_table.htmltemplates/dashboard/partials/actions_table.htmltemplates/dashboard/partials/feedback_table.htmltemplates/dashboard/partials/observations_table.htmltest_admin_dashboard_browser.py
Modified Files
apps/dashboard/views.pyapps/dashboard/urls.pytemplates/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