BedFlow

Predict and optimize hospital bed capacity to reduce boarding and diversions

Healthcare AIPaid

BedFlow predicts hospital bed demand by unit type using admission patterns, surgical schedules, average length of stay by diagnosis, and seasonal trends, providing 24-48 hour capacity forecasts that enable proactive bed management. The tool identifies bottlenecks in patient flow including delayed discharges, inefficient bed cleaning turnaround, and misallocated unit assignments. Hospital operations teams use it to reduce ED boarding times and ambulance diversions while capacity planning teams use long-range forecasts for staffing and capital decisions.

Key Features

• ✓Demand forecasting
• ✓Bottleneck identification
• ✓Unit-level prediction
• ✓Discharge delay tracking
• ✓Seasonal trend analysis