Decision Analysis for Healthcare Managers (HLTH530)
In this course students will draw on scientific evidence, patients’ preferences, and expert opinions to analyze managerial decisions and identify optimal alternatives. The course will cover applications of decision analysis to practice patterns, benchmarking, probabilistic risk assessment, cost analysis, conflict analysis, and measurement of severity of illness. Analytical tools such as multi-attribute value models, Bayesian probability networks, and decision trees will be covered. Students will acquire an understanding of the analytical tools used in healthcare, including benchmarking performance of clinicians, implementing projects planning scenarios, allocating resources, analyzing the effect of HMO penetration, setting insurance rates, conducting root-case analysis and negotiating employment agreements.