IND E 599
Prerequisite: permission of supervisor.
A graduate level seminar focusing on the method and application of operations research in healthcare. Course covers a variety of topics in healthcare policy, treatment optimization, and healthcare operations management. Methods include decision analysis, cost-effectiveness analysis, Markov models, Markov decision processes, dynamic programming, simulation, queuing, optimization and machine learning. Healthcare decision making touches areas in disease prevention, screening, diagnosis, and treatment; assessment of medical technologies; organ allocation policies; and health service delivery and capacity planning. The health issues examined include a variety of conditions such as cardiovascular disease, hepatitis, HIV/AIDS, organ transplants, influenza, and cancer.
Student learning goals
General method of instruction
Masterís level understanding of basic concepts in probability, statistics, optimization, economics and other fundamental operations research methods.
Class assignments and grading