A comprehensive data visualization framework for ADT, ORM, ORV, and other key HL7 messages for a sophisticated nursing operations dashboard designed to optimize patient flow.
- Displays key metrics in card format at the top of the dashboard.
- Shows critical numbers such as:
- Current staffing levels
- Bed occupancy
- Wait times
- Patient satisfaction
- Utilizes intuitive icons and color coding for quick visual understanding.
- Staffing Analytics and Patient Throughput are separated into distinct tabs for focused analysis.
- Users can easily switch between views while maintaining a clean interface.
- Displays predicted vs. actual staffing needs over time.
- Uses interactive line charts with tooltips for detailed exploration.
- Shows admission and discharge patterns.
- Incorporates interactive line charts for easy data interpretation.
- Built using shadcn/ui components for a consistent, professional look.
- Uses Recharts for responsive, interactive visualizations.
- Implements Tailwind CSS for styling, strictly using core utility classes.
- Includes Lucide icons for visual enhancement.
- Added an
AlertsSectioncomponent to display critical notifications. - Features visual indicators for urgent situations (e.g., approaching capacity).
- Alerts can be acknowledged and dismissed.
- Uses color coding to indicate severity levels.
- Enhanced throughput visualization with occupied beds tracking.
- Added capacity indicators across all metrics.
- Implemented trend analysis for admissions and discharges.
- Included departmental breakdowns for more granular insights.
- Created a dedicated Scheduling tab with shift-based views.
- Displays required vs. scheduled staff ratios.
- Highlights staffing gaps with visual indicators.
- Includes pending assignments and scheduling conflicts.
- Added a BedManagement component to show real-time bed utilization.
- Provides a department-wise breakdown of bed availability.
- Includes visual progress bars for quick status assessment.
- Features alert indicators for near-capacity departments.
- Added a dedicated Predictive Analytics tab to show AI-powered insights.
- Provides real-time risk assessment with visual indicators.
- Displays a 4-hour prediction window for staffing needs and patient volumes.
- Shows confidence scores for predictions.
- Implements trend analysis comparing historical, current, and predicted patterns.
- Interactive scatter plot to visualize patient flow patterns.
- Comparison of actual vs. predicted vs. historical flows.
- Time-based analysis of patient movement.
- Department-specific flow tracking.
- Bottleneck identification to improve efficiency.
- Recognizes peak times and quiet periods for better resource management.
- Multi-level alert categorization: Critical, Warning, Info.
- Action-oriented alerts with specific recommendations.
- Real-time risk assessment integration.
- Custom alert thresholds and configurations.
- Alert acknowledgment tracking.
- Historical alert analysis.
- AI-enhanced staff scheduling recommendations.
- Real-time staffing gap analysis.
- Confidence scores for scheduling recommendations.
- Factor-based decision support.
- Visual staffing level indicators.
- Shift-based optimization suggestions.
- Added a radar chart showing confidence levels across different prediction domains.
- Implemented visual confidence meters for each model aspect.
- Created interactive tooltips showing detailed confidence metrics.
- Included trend analysis for model performance.
- Added real-time confidence updates.
- Created detailed department cards showing key metrics.
- Implemented dynamic status indicators based on thresholds.
- Added trend visualization for each department.
- Included predictive demand indicators.
- Created comparative department analysis for better decision-making.
- Built an interactive alert rule management system.
- Added threshold adjustment sliders.
- Implemented rule enable/disable toggles.
- Created severity level management.
- Added department-specific rule targeting.
- Improved layout for better data visualization.
- Added clear visual hierarchy.
- Implemented responsive design patterns.
- Created intuitive navigation between features.
- Added contextual help and tooltips for enhanced usability.
- Real-time tracking of accuracy, precision, recall, and F1-score.
- Historical performance trends visualization.
- Feature importance analysis to show influential factors in predictions.
- Confidence intervals and uncertainty quantification.
- Model drift detection and monitoring.
- Radar charts to compare multiple performance dimensions across departments.
- Resource utilization efficiency metrics.
- Patient outcome comparisons.
- Trend analysis across various operational aspects.
- Real-time comparative performance indicators.
- Compound conditional rules with multiple criteria.
- Time-window based alerting.
- Minimum occurrence thresholds.
- Severity level management.
- Custom rule chaining capabilities.
- Live metric updates every 5 seconds.
- Visual indicators of active data streams.
- Performance trend monitoring.
- Anomaly detection in real-time.
- Interactive data exploration capabilities.
This comprehensive NursingDashboard provides a clear and interactive way to manage hospital operations with detailed analytics, predictive insights, and customizable alerts for efficient decision-making.