This project will employ simulation methods to analyze emergency department, hospital, and ICU data, including physiologic markers of severity of illness, with a view to identifying specific patient flow, hospital and ED occupancy states, and processes of care (e.g., early goal-directed therapy for sepsis) associated with improved patient outcomes (e.g., death, unplanned transfer to intensive care) as well as improved system states (e.g., absence of ED overflow conditions, absence of census-driven discharges from hospital units).
CAREER: Managing Patient Flows with Congestion Effects
Investigator: Escobar, Gabriel
Funder: National Science Foundation