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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

발표자 소개

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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 Sciences Institutes' Data Architecture and Digital Solutions group. She is also currently serving as a fellow in Takeda R&D Capacity Building program which supports local healthcare capacity building in underserved communities via remote & onsite work with teams at AMPATH in Eldoret, Kenya & Kilimanjaro Christian Medical Center (KCMC) in Moshi, Tanzania She previously served as the Oncology Clinical Business Operations Manager at Takeda Pharmaceuticals. Julia is also an Ambassador for the Healthcare Businesswomen’s Association (HBA), serves on the advisory board of Women in the Enterprise of Science and Technology (WEST) and is an active member of the Boston Biotech and Pharma women’s Networking Forum.

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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 automated data integrations using cloud-based applications and produces ad-hoc report and listing for clinical, regulatory and GPSE Purpose. Steve holds a Master’s degree in Predictive Analytics and Data Sciences from Northwestern as well as two bachelor of sciences degrees, one in psychology from University of Florida and another in computer science from Michigan State University.

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MP4

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