Enhancing Data Quality 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 how inaccurate or incomplete data can compromise machine learning models and study outcomes, and explore how large, longitudinal real-world datasets can enhance efficiency and reduce patient recruitment costs.
Key points include:
- Improving data accuracy for better trial efficiency
- Leveraging synthetic control arms for stronger real-world insights
- Enhancing efficiency with large, longitudinal real-world datasets
Author's summary: Experts discuss data quality and real-world evidence in clinical research.
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