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The Future Of Population-Based Reimbursement, David Chin, Md, Mba

College of Population Health Forum

David C. Chin, MD, MBA is a Distinguished Scholar at the Johns Hopkins Bloomberg School of Public Health and Johns Hopkins School of Medicine, where he focuses on novel industry/academic research partnerships and preparing health systems and academic medical centers for success under accountable care.

Dr. Chin will describe the Maryland-All payer system as a model of innovative population-based reimbursement. He will discuss early adaptive strategies, including ways in which health care systems will need to change. Dr. Chin will also provide a comparison of the new incentives in the model vs. fee-for-service.

Prior to joining Hopkins Dr. Chin has …

Direct Comparison Of Apremilast And Best Supportive Care Using A Discrete Event Simulation, Zoe Clancy, Pharmd

Master of Science in Applied Health Economics and Outcomes Research Capstone Presentations

Apremilast is compared to best supportive care (BSC), and response to treatment is assessed after a trial period of 16 weeks, which corresponds to the primary efficacy endpoint in the apremilast clinical trials. DES is a technique that is event-based and models a population at the individual level in terms of utility, costs, and resource use. The DES was implemented as a series of input, calculation, and output flowcharts in Arena®. The DES reported an incremental QALY per patient of 0.16 and incremental cost per patient of $17,325. The Markov model reported an incremental QALY of 0.18 and incremental cost …