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Improving Patient Outcomes & Clinical Trials With Visual Analytics

Drug Development has always been about data. Research insight that comes from data often gets muddied by its vastness and inaccessibility. In this session, we discuss Takeda Pharmaceutical’s Platypus, a comprehensive set of Tableau visualizations of clinical trial data. With the power of Tableau, Takeda is able to more effectively monitor patient safety through all clinical trial phases and help ensure data quality, leading to timely analysis and ultimately a faster path to life-changing medicines that patients need.

This session will explore:

  • How to increase quality and speed in data analysis to reduce time and achieve greater results
  • The impact of Takeda’s approach and user testimonials
  • Data visualizations, such as “COVID19 Patient Visit Dashboards,” show pandemic insights and enable study teams to view patient data, behavior patterns, and trial delivery milestones

À propos des intervenants

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Julia Curran

Senior Manager, Insights & Analytics, Takeda R&D Data Sciences Institute

Julia Curran serves as a Senior Manager in the Insights & Analytics group within the Takeda R&D Data Science Institute. In this role, she leads and supports cross-functional efforts to advance the business impact of technologies and platforms supported by Takeda R&D Data ...

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Stephen Van Neste

Manager, Insights & Analytics, Takeda R&D Data Sciences Institute

Steve has held several roles at Takeda over the past 12 years and currently serves as the Manager of Insights and Analytics at Takeda R&D’s Data Science Institutes. In this role, he produces interactive dashboards for functional areas across Takeda R&D, architects and programs ...

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