Emergency Department Optimization
Real-time ED management with 60% wait time reduction and 94% first-attempt success.
Business Challenge
A Level 1 trauma center ED handles 120,000 annual visits with average wait times of 4.5 hours, 12% left-without-being-seen rate, and staff burnout from inefficient workflows.
Agent Collaboration Architecture
Detailed Agent Workflow
1. Sindhan Discover - ED Process Mining
- Input: Patient flow data, timestamps, treatment paths
- Processing: Discovers bottlenecks and inefficient pathways
- Output: Flow maps, constraint identification, variation analysis
- Insight: Found 23 process bottlenecks causing 67% of delays
2. Sindhan Analyze - Real-time Performance
- Input: Current census, acuity mix, resource availability
- Processing: Continuous analysis of ED performance metrics
- Output: Congestion scores, resource gaps, performance alerts
- Monitoring: Updates every 30 seconds across 45 metrics
3. Sindhan Predict - Demand Forecasting
- Input: Historical patterns, external factors, current trends
- Processing: ML models predict patient arrivals and acuity
- Output: 24-hour volume forecasts, surge predictions
- Accuracy: 87% accuracy in 4-hour arrival predictions
4. Sindhan Decide - Dynamic Prioritization
- Input: Patient acuity, wait times, resources, predictions
- Processing: Optimizes patient flow and resource allocation
- Output: Patient sequencing, bed assignments, staff deployment
- Intelligence: Balances clinical priority with operational efficiency
5. Sindhan Execute - Flow Orchestration
- Input: Flow decisions, staff availability, bed status
- Processing: Coordinates patient movement and care delivery
- Output: Assignment notifications, workflow triggers, alerts
- Automation: 78% of routine coordination automated
6. Sindhan Optimize - Continuous Enhancement
- Input: Performance data, patient outcomes, staff feedback
- Processing: Identifies and implements process improvements
- Output: Updated protocols, staffing models, layout recommendations
- Improvement: 8% monthly throughput improvement
7. Sindhan Operation - Strategic Management
- Input: Quality metrics, financial performance, staff metrics
- Processing: Balances multiple ED objectives
- Output: Strategic initiatives, resource planning, quality programs
- Leadership: Guides ED transformation initiatives
Implementation Results
Patient Experience
- Average wait time reduced from 4.5 to 1.8 hours
- Left-without-being-seen rate decreased from 12% to 2%
- Patient satisfaction improved by 42%
Operational Efficiency
- ED throughput increased by 34%
- Staff overtime reduced by 45%
- Bed turnaround time improved by 52%
Clinical Quality
- Door-to-doctor time reduced by 58%
- Time-to-treatment for critical cases improved by 71%
- Clinical outcome metrics improved across all categories
Key Features
Real-time Dashboard
- Live Status Board: Real-time ED census and capacity
- Predictive Analytics: Volume and acuity forecasting
- Performance Metrics: Key performance indicators tracking
- Alert System: Proactive notifications for bottlenecks
Smart Triage
- AI-assisted Triage: Intelligent acuity assessment
- Symptom Analysis: NLP analysis of chief complaints
- Risk Stratification: Early identification of high-risk patients
- Fast Track: Automated routing for low-acuity cases
Resource Optimization
- Staff Scheduling: Predictive staffing based on demand
- Bed Management: Dynamic bed allocation and tracking
- Equipment Tracking: Real-time location of mobile equipment
- Capacity Planning: Surge capacity management
Getting Started
Ready to optimize your emergency department?