Health Decision Science Courses within HSPH


Instructor:
Sue Goldie
Term:
Fall 2
An introductory course that provides a foundation for understanding health decision science methods and applications. Real world examples enrich learning about how decision science tools can be applied to important problems in clinical medicine, public health, and global health

Instructor:
Stephen Resch
Term:
Spring 2
This course features case studies in the application of health decision science to policymaking and program management at various levels of the health system. Both developed and developing country contexts will be covered. Topics include: [1] theoretical foundations of cost-effectiveness analysis (CEA); [2] controversies and limitations of CEA in practice; [3] design and implementation of tools and protocols for measurement and valuation of cost and benefit of health programs; [4] integration of evidence of economic value into strategic planning and resource allocation decisions, performance monitoring and program evaluation; [5] the role of evidence of economic value in the context of other stakeholder criteria and political motivations.

Instructor:
James Hammitt
Term:
Fall
An advanced course that introduces the standard model of decision-making under uncertainty and its conceptual foundations, as well as challenges, alternatives, and methodological issues arising from the application of these techniques to health issues.

Instructor:
Jane Kim
Term:
Spring 1
An intermediate/advanced course on methods and health applications of decision analysis that extends the foundation provided in RDS2 280, with an emphasis on modeling techniques, assessment of uncertainty, ROC analysis and diagnostic technology assessment.

Instructor:
Uwe Siebert
Term:
Summer
An introductory course in decision analysis methods relevant to clinical decision making and clinical research. Topics range from Bayes theorem and evaluation of diagnostic test strategies to cost-effectiveness analysis in clinical research and health policy.

Instructor:
Myriam Hunink
Term:
Summer
An intermediate-level medical decision making course covering topics such as modeling methods, diagnostic test evaluation, utility assessment and multi-attribute utility theory, value of information analysis, and behavioral decision making.