Exploring the Critical Role of Data and Execution Gaps in Pharmaceutical Launches

This chapter explores the significance of utilizing data to comprehend doctors' preferences and behaviors prior to launching a pharmaceutical product, advocating for the use of machine learning and AI models to structure complex data for actionable insights. It also addresses the challenges in transitioning from planning to implementation in various aspects like payer activation, market adoption, patient engagement, and med legal review, underlining the importance of closing these gaps for successful product launches.