Managing clinical data quality for excellence is more challenging than ever before. The explosion in variety, volume, and complexity of “new” data sources (imaging, eSource, omics, real-world evidence) is often difficult to integrate with “traditional” data sources like EDC and lab data—thus failing to provide a more comprehensive understanding of a patient and/or trial’s total quality.

Recent regulatory advancements, combined with sophisticated analytics and machine learning techniques, presents exciting opportunities to change the way we oversee data, achieve a truly holistic understanding of data quality, and gain confidence in identifying data issues throughout the clinical trial process.

In this webcast, a group of subject-matter experts will explore:

• Critical data and processes as a foundation for better data quality
• Leveraging powerful analytics & machine learning to improve data quality
• Proven and effective approaches to improving data quality – one patient at a time, one study at a time or throughout the clinical trial process.

Speaker Details: