Quantitative models for decision-support in healthcare applications
ADVANCE Distinguished Speaker: Dr. Pinar Keskinocak, Georgia Institute of Technology
Health systems focus on broad set of activities including prevention, screening, diagnosis, and treatment. Most health systems face multiple objectives and limited resources while striving to provide high quality care and promote health and well-being. Data-driven quantitative models, embedded into decision-support systems, have a significant potential for improving patient and population outcomes, efficiency, and effectiveness in healthcare. In this presentation we will discuss a few applications from organ transplant, vaccination, screening, and workforce allocation decisions.
The ADVANCE program works to support the recruitment, retention, advancement and professional growth of women and under-represented minority faculty at the University of Maryland. This event is co-hosted by the Robert H. Smith School of Business.