Data management and risk-based quality management (RBQM), clinical operations, and IT teams need access to the same errorfree, low-latency data to achieve their goals.
However, the data and technology landscape is changing, increasing the complexity of data quality oversight. In this period of transition, teams need to know:
- How to manage source data verification (SDV) for expanding data sources
- How to improve quality oversight workflows to prevent bottlenecks and delays in decision-making
- How to deploy automation, integration, and AI to drive efficiencies
These are the big questions addressed in this eBook, which delivers 5 smart strategies to transform data quality oversight workflows for next-generation clinical trials.
