Date and Time
TUE, 17 APR, 2018
09:00 AM - 10:30 AM Beijing Time
10:00 AM - 11:30 AM Japan Time
Description
This is a simulated live webinar, which is a rebroadcast of an original webinar, and allows attendees to ask questions and participate in chat. Answers to attendee questions will be answered by subject matter experts and provided 24 hours after the webinar's completion.
Traditional methods for implementing risk-based monitoring stress the need for early assessment, planning and development work to ensure that risks are aligned with study needs. Conversely, a Big Data approach de-prioritizes much of this early work in favor of allowing the data itself to guide the analysis and risk profile for the study.
This webinar will show how clinical data automatically flows from EDC platform into a clinical analytics system for risk assessment, data visualization and fraud detection. Examples will be given from multi-venue studies, which indicate a high risk of non-compliance and a significant probability of fraud at several sites. All of this is done without the need for extensive custom programming or for transforming data into a proprietary data mart or warehouse.
Members Only Mini-Trainings are a benefit of CDISC membership. All employees of CDISC members may participate in Members Only Mini-Trainings. If your organization is not a CDISC Member, join us to support the development and adoption of global standards and reap the many benefits of CDISC membership. Should you have membership-related questions, please contact membership@cdisc.org.
Note: Please use your corporate e-mail address to register for this webinar. This is to confirm your CDISC membership. Confirmations will be sent out within a few days after your completed registration.
Webinar Language
English
Presenter
- Jon Roth, Vice President of Data Sciences and Biometrics, Biorasi
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