Description

In this QCast episode, Jullia and Tom unpack risk-based quality management (RBQM) in clinical data management and why it’s central to protecting participant safety and the reliability of trial results. They clarify what RBQM means in practice, how teams identify critical data and processes, and how KRIs and QTLs can be used to spot emerging issues early and drive proportionate, documented action across functions.

Key Takeaways

• Understand what RBQM is in a clinical data management context, and how it focuses oversight on critical-to-quality data and processes.
• Learn how KRIs and QTLs are used day to day, including how to avoid 'metric noise'.
•  Apply practical steps to keep RBQM effective through delivery when risks span data management and operations.

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📝 Episode Notes & Transcript: Find show notes, resources, and a full transcript at quanticate.com/podcast.
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About Quanticate

Founded in 1994, Quanticate is a biometrics-focused CRO with over 30 years' experience delivering expert clinical and post-marketing data services worldwide. Specialising in the collection, management, standardisation, analysis, and reporting of data, we support pharma and biotech companies globally with high-quality solutions for clinical development. We specialise in:

• Clinical Data Capture & Management
• Biostatistics & Statistical Consultancy
• Statistical Programming & PK/PD Analysis
• Medical Writing & Pharmacovigilance
• Regulatory & Submission Support
• AI & Automation
• Post-Marketing Safety & Real-World Data

Quanticate is committed to delivering expertise and solutions that drive the success of clinical development worldwide.