Healthcare Ops
TechOtsu DeepFlow
Operational intelligence for healthcare facilities
DeepFlow optimizes staffing, resource allocation, and patient flow using your facility's own operational data — not clinical data. Predict demand, reduce wait times, and match staff capacity to patient volume without touching patient records.
The Problem
Why this exists
Healthcare operational inefficiency costs the average hospital 20-30% of annual budget. Demand forecasting relies on manual experience. Staff scheduling is reactive. Bed and equipment utilization is tracked in spreadsheets.
How It Works
Three steps, start to finish
1
DeepFlow connects to your operational systems — scheduling, capacity, admissions — not clinical records
2
Demand forecasting models learn your facility's seasonal, daily, and hourly patterns
3
Operational dashboards show predicted demand, current capacity, and staffing recommendations
Key Features
What you get
Operates on operational data only — no patient clinical records
Demand forecasting: predict patient volumes 24-72 hours ahead
Staff scheduling optimization: match capacity to predicted demand
Bed and equipment utilization tracking with predictive alerts
Integrates with existing HR and scheduling systems
On-premise deployment — no operational data leaves the facility
Who It's For
Hospital operations teams, healthcare network administrators, and clinic managers responsible for staffing, capacity, and operational efficiency who need better data than spreadsheets but don't need clinical AI.