AI Surgical Throughput Optimization
AI Surgical Throughput Optimization uses predictive analytics and operations research to forecast patient demand, dynamically schedule surgeries, and orchestrate patient flow across clinics, transport, and operating rooms. By minimizing idle theatre time, reducing bottlenecks, and shortening waitlists, it increases surgical capacity, improves patient access, and boosts the financial performance of hospitals.
The Problem
“Forecast demand and optimize OR schedules to cut idle time and shorten waitlists”
Organizations face these key challenges:
OR block time goes unused while elective waitlists keep growing
Day-of-surgery delays cascade due to transport, bed, staffing, or PACU bottlenecks
Case duration and turnover time estimates are inconsistent across surgeons and procedures
High cancellation and no-show rates cause last-minute gaps that are hard to backfill