Design of a Model to Predict Surge Capacity Bottlenecks for Burn Mass Casualties at a Large Academic Medical Center

The authors designed a model using data from the University Hospital of the University of Michigan Health System to predict time to bottlenecks and waiting time for a bed using ProModel software. They looked at how long it would take for bottlenecks to occur for beds, supplies, and staff. They found that bottlenecks were due to ventilators; topical epinephrine; staplers; foams; antimicrobial non-adherent dressing/Telfa; types A, B, or O blood; and nurse, respiratory therapist, and physician staffing did not induce bottlenecks in this particular model.