We analyzed perioperative workflow efficiency within the Tallahassee Orthopedic Clinic ambulatory surgical center to increase daily surgical throughput while maintaining patient safety. Our team employed a DMA- IC-based framework to define the current-state surgical process, identify bottlenecks through direct observation and time-study data, and quantify performance gaps relative to operational targets.
We conducted detailed process mapping and value stream analysis to characterize patient flow from preoperative intake through postoperative recovery. We cleaned, validated, and analyzed data from surgical schedules and time-tracking forms to establish baseline metrics, including average daily surgeries, cycle times, and resource utilization. To test interventions, we developed a discrete-event simulation model that replicated operations and evaluated proposed improvements under varying demand and staffing scenarios.
Our results demonstrate significant potential for increased surgical throughput and reduced idle time through targeted process changes. We delivered a validated simulation model and data-driven recommendations designed to support evidence-based decision-making and sustainable operational improvements within the surgical center.
