(November 5, 2015) ISE PhD student Nasibeh Azadeh-Fard was recognized as a finalist for the IBM Service Science Best Student Paper Award at the 2015 INFORMS conference in Philadelphia, PA. Her paper, "Can Objective Early Warning Scores and Subjective Risk Assessments Predict Patient’s Hospital Length of Stay and Mortality?" looks at risk management issues in hospital settings, and analyzes the predictive power of early warning scores in emergency departments.
Nasibeh took a multi-method approach; she first developed an agent-level simulation model of a hospital where agents were patients and physicians, and simulated patients’ health status from admission to a hospital until getting discharged (or death). Her model offered a theoretical framework to analyze the predictive power early warning scores. Then she empirically tested the model's predictions using a detailed dataset of over 1000 patients from a hospital in Virginia. Her research offered new insights into improving health service performance and risk assessment in healthcare systems.