Enhancing Data Quality and Real-World Evidence in Clinical Research
Improving data accuracy and leveraging synthetic control arms can optimize trial efficiency, reduce costs, and generate stronger real-world insights.
In a video interview, Cameron Breze, product manager at Inovalon, and Sujay Jadhav, CEO of Verana Health, discuss the importance of high-quality data and real-world evidence in clinical research.
Quality data is something that is top of mind for everyone in the data technology space.
They highlight the impact of inaccurate or incomplete data on machine learning models and study outcomes, and explore the benefits of leveraging large, longitudinal real-world datasets to enhance efficiency and reduce patient recruitment costs.
- Optimize trial efficiency
- Reduce costs
- Generate stronger real-world insights
Author's summary: Experts discuss the importance of high-quality data in clinical research.