When the aim of a study is to aid decision makers about acquiring additional information to reduce uncertainty, the ISPOR-SMDM Modeling Good Research Practices Task Force recommends the results of pharmacoeconomic simulation models be presented using Expected Value of Perfect Information (EVPI) and Expected Value of Partial Perfect Information (EVPPI). EVPI and EVPPI estimate the monetary or health value of resolving all of the uncertainty in a decision problem related to all parameters (EVPI) or a subset of parameters (EVPPI). While the use and presentation of EVPI and EVPPI estimates in the literature base has steadily increased, the concept remains complex, especially to consumers of pharmacoeconomic research. This course will provide an overview of probabilistic sensitivity analysis as a building block and prerequisite of EVPI and EVPPI. Through active learning, audience members will calculate EVPI using a one-page simplified exercise. The course will expand on this simplified exercise by demonstrating the calculation and graphical presentation of an EVPI curve and EVPPI analysis from an example Excel-based modeling tool. This value of information modeling tool will be provided as a resource to all course participants. Computers are recommended so participants may follow along with Excel demonstrations. Discussion leaders will present examples of how EVPI and EVPPI can be used to inform reimbursement and research funding decisions and include a policy discussion session for participants to engage and share potential barriers of applying these methods. For this course, faculty strongly recommend that participants bring a fully charged personal laptop equipped with Microsoft Excel 2011 or later to complete all course exercises.