Transforming Bed Management into Revenue Optimization. Real-time capacity intelligence, predictive analytics, and AI-powered insights for healthcare operations.
Measurable results from hospitals using Aerolib
Enterprise-Grade Security & Compliance
Everything you need to optimize hospital capacity and maximize revenue
Real-time bed capacity monitoring, patient flow analytics, and key performance metrics at a glance.
Track revenue velocity, collections, denial rates, and AR days with real-time financial intelligence.
Predictive discharge timelines, clinical workflows, and comprehensive patient tracking systems.
AI-powered alerts, critical action items, and real-time monitoring across all hospital operations.
Explore the comprehensive features of Aerolib Capacity Intelligence Center
The command center for hospital leadership featuring four key metric cards: Total Census (198 patients with +12 from yesterday), Bed Utilization (79.2% against 85% target), Average Length of Stay (3.9 days, -0.3 vs target), and Daily Revenue ($438,300). Includes AI Model Performance tracking with 94.2% prediction accuracy and 89.7% model confidence, discharge predictions for the next 24-72 hours, and system health monitoring showing 99.97% uptime with EHR, Lab, and Pharmacy system integration status. A detailed unit analysis section displays ICU, Med-Surg, and Cardiology occupancy rates.
Comprehensive patient tracking interface with a Predictive Discharge Timeline showing 8 patients predicted for discharge today. Each patient (John Smith, Mary Johnson, Robert Davis, etc.) displays their predicted discharge time on a visual timeline from 8AM to 8PM, with color-coded status indicators: green for Ready, orange for Pending Action, and red for Barriers. Confidence scores range from 65-95%. The Midnight Census Prediction shows 358 forecasted patients (current: 342, +16) with 89% confidence. Unit-Level Census Forecast displays ICU (30/32 beds, 94%), Med-Surg (152/160 beds, 95%), Cardiology (44/48 beds, 92%), and Emergency (42/45 beds, 93%) with staffing indicators.
AI-powered alerts dashboard showing 8 Critical Alerts & Actions with real-time monitoring. Each alert card displays the issue, department, timestamp, and potential savings: 'Patient has LOS of 9 days with no discharge plan' (Cardiology, $12,000 savings), 'Patient ready for discharge but no transport scheduled' (Med-Surg, $800), 'ICU approaching capacity - only 2 beds available' ($25,000), 'Emergency Department short 3 nurses for evening shift' ($8,500), 'MRI machine down - 8 scheduled procedures affected' ($15,000), 'Potential C. diff outbreak - 3 cases in Med-Surg unit' ($20,000), 'Critical medication shortage - Vancomycin supply low' ($5,000), and 'High fall risk patient - 3 incidents this week' ($30,000). Includes an Advanced Analytics Dashboard with tabs for Trends, Predictions, Performance, and Insights.
Individual patient cards showing comprehensive clinical data. John Smith (67y M, MRN123456, DRG 177) in ICU-301A1 with Dr. Sarah Johnson, LOS 4.2 days, Stable status, vitals (Temp 98.6F, HR 78, SpO2 96%), 85% Discharge Readiness with predicted discharge 1/30/2024 to SNF, and 2 active alerts. Mary Johnson (45y F) in Med-Surg-205B2, LOS 2.1 days, 92% readiness for home discharge. Robert Davis (78y M) in Cardiology-402C1 with 3 alerts, Unstable status, 45% readiness requiring Home with Services. Each card shows latest vitals timestamps and discharge barriers. The Critical Alerts section displays ICU Critical Capacity alert ($15,000 cost impact), Discharge Ready - Transport Needed (medium priority), and Extended LOS Alert for Robert Davis (9 days LOS, $12,000 impact) with recommended actions.
Revenue impact tracking for inpatient-to-outpatient admission changes. Summary cards show Total CC44 Cases (28 this month, +12% vs last month), Revenue Impact ($1.2M lost MTD, avg $42.8K per case), Primary Reason (Medical Necessity, 67% of cases, 18-day avg appeal time), and Preventable Cases (19 AI-identified at 68%, $812K recoverable). Denial Analysis tab displays reasons breakdown: Medical Necessity (19 cases, 67%), Lack of Authorization (4 cases, 14%), Incomplete Documentation (3 cases, 11%), Out of Network (2 cases, 8%). Top Denying Payers ranked by revenue impact: UnitedHealthcare ($387K, 9 cases), Cigna ($299K, 7 cases), Aetna ($214K, 5 cases), Humana ($171K, 4 cases), BCBS ($169K, 3 cases). Recent CC44 Denials table shows individual cases with patient IDs, payers, denial reasons, amounts ($39.7K-$45.3K), and appeal status.
Insurance payer analytics showing Total Revenue ($48.6M), Money at Risk ($912K), Total Denials (155), and Appeals Won ($890K). Payer performance table ranks insurers: Blue Cross Blue Shield (487 cases, $8.8M, 94.2% approval, $145K at risk), Medicare (423 cases, $6.9M, 95.7%, $98K), United Healthcare (356 cases, $7.2M, 91.3%, $187K), Aetna (289 cases, $5.6M, 94.8%, $76K), Cigna (267 cases, $4.9M, 92.9%, $112K). Payer Contract Performance shows $2.77M underpaid across payers with variance analysis (BCBS -5.6%/$873K, United -8.9%/$988K). LOS Benchmark Comparison displays 587.6 excess days against CMS/regional standards by DRG (Major Hip/Knee +74.8 days, Heart Failure +140.4 days, etc.) with $1.29M/year potential savings. Bed Capacity section shows 250 total beds, 198 occupied, 52 available.
Interactive visual bed management system with Patient Flow by Time of Day area chart showing hourly admission/discharge patterns (6AM-midnight). Length of Stay Distribution bar chart displays patient counts by LOS range (0-1 days through 15+ days). The Real-time Bed Board shows an interactive floor map with unit tabs (ICU, Med-Surg A, Med-Surg B, Cardiology). ICU Unit displays a 32-bed grid with color-coded status: green (Available), blue (Occupied), orange (Dirty/Turnover), gray (Blocked), plus acuity indicators (red dots for High Acuity, orange for Medium). Stats show 17 Occupied, 15 Available, 0 Turnover. Summary metrics: 39 Beds Available, 8 in Turnover, 28 High Acuity, 65% Occupancy. Active Patients section shows John Smith and Lisa Wilson with discharge readiness scores, vitals status, and predicted discharge dates with barriers listed.
Comprehensive operational monitoring interface with Hospital Operations Command Center header showing System operational status and real-time metrics: 99.97% System Uptime, 3 Active Alerts, 24/7 Monitoring, and Last Incident date (1/25/2024). Navigation tabs for Departments, Communications, Transport, and Systems. Department cards display: Emergency Department (operational, 24/26 staffing, 92% efficiency, 18/25 patient load, 12 min avg wait, 15 operational equipment with 1 maintenance), Intensive Care Unit (at-capacity, 18/18 staffing, 96% efficiency, 28/30 patient load, 0 min wait, 28 equipment with 2 maintenance), Medical-Surgical (operational, 32/35 staffing, 89% efficiency, 65/80 patient load, 5 min wait, 45 equipment with 3 maintenance and 1 critical), and Cardiology (operational, 22/24 staffing, 94% efficiency, 35/40 patient load, 8 min wait, 18 equipment with 1 maintenance). Equipment status badges show OK count vs Maintenance items in green/yellow indicators.
From integration to optimization in four simple steps
Seamlessly integrate with your existing EHR, ADT, and financial systems. Our platform connects with Epic, Cerner, Meditech, and more.
Our machine learning models analyze historical patterns, current census, and clinical indicators to generate accurate predictions.
Get real-time alerts, discharge predictions, and revenue optimization recommendations delivered to the right staff at the right time.
Watch your capacity utilization improve, avoidable days decrease, and revenue capture increase within weeks of implementation.
See the difference Aerolib makes
Everything you need to know about Aerolib
Learn how Aerolib can transform your hospital's capacity management and revenue optimization.