Using real-world data to evaluate and optimize personalized oncology
Available On-Demand for 30 days
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Format: Self Paced On-Demand Seminar
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Seminar Description
The complex dynamics of today’s clinical pathways challenge how we evaluate the health and economic impact of healthcare interventions. Cancer therapies are being developed for increasingly smaller patient populations, requiring novel approaches to evaluate their value and emphasizing the need to appropriately reflect uncertainty. Changes in upfront treatment are likely to have downstream effects that are not always captured in clinical trials. For many cancers, several treatment options are available, which poses questions regarding their optimal combination and sequencing over multiple lines of treatment. In this talk, I will discuss how we explore addressing these challenges by utilizing real-world data from clinical registries using quantitative methods, such as propensity score-based methods, survival analysis, discrete event simulation and metamodeling.
