Description
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.
Presenter
- Jon Roth