Interactive Data Visualizations
Real-time dashboards demonstrating analytics capabilities across healthcare operations, e-commerce conversion, and supply chain optimization.
Hospital Operations Dashboard
Demo data📊 The Challenge: Emergency Department Crisis
The Situation: A major regional medical center was experiencing a critical operational challenge. Patient wait times were averaging 68 minutes during peak hours (10AM-2PM), resulting in:
- • 23% of patients leaving without being seen (industry avg: 2-3%)
- • $3.2M annual revenue loss from patient defections
- • Staff overtime costs exceeding budget by 40%
- • Patient satisfaction scores dropping to 2.8/5 stars
The Assumption: Hospital executives were convinced the ER triage process was broken and were ready to invest $500K in a new triage system. But was that really the problem?
Select Analysis View:
🎯 Interactive Analysis Guide
Step 1: Check the Metrics - Look at the key metrics below. Notice the critical peak wait time (68 min) and high LWBS rate (23%). These are far above industry standards.
Peak Wait Time
68 min
⚠️ During 10AM-2PM rush
Left Without Being Seen
23%
↑ Lost revenue: $3.2M/year
Patient Satisfaction
2.8/5
↓ Below target (4.0)
Monthly Overtime Cost
$210K
↑ 40% over budget
🔍 Data Discovery Process
Examined ER triage times across 6 months
Well within 5-min target
Tracked patient journey touchpoints
Peak congestion hours identified
Analyzed wait times by department
68 min wait (3x other depts)
Patient Flow & Wait Times
Department Performance
Staff Allocation Analysis
Patient Satisfaction Trend
Monthly Cost Impact Analysis
Staff Overtime
$165K
saved/month
Lost Revenue
$224K
saved/month
Agency Staffing*
$70K
saved/month
Turnover Costs**
$50K
saved/month
Total Monthly Savings
$509,000
Annual Impact: $6.108M
* Reduced reliance on premium-rate temporary staff as burnout decreased
** Annual turnover costs (recruitment, training, productivity loss) amortized monthly
📊 Analysis Findings
• Triage is fine: Average 3.5 minutes, well within 5-minute target
• Peak hours identified: 10AM-2PM sees 3x normal patient volume
• Bottleneck found: Radiology has 68min wait (2-3x other departments)
• Root cause: Radiology staffing doesn't match patient flow patterns
💡 Data-driven recommendation: Shift 2 radiology staff to morning hours
Visualization & Dashboard Expertise
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