Скачать или смотреть Episode 11/15: External Data Reconciliation – Aligning Multiple Data Sources

In this episode of Mentoring Maya: A Beginner’s Guide to Clinical Data Management, we unpack one of the most complex but essential responsibilities in CDM: external data reconciliation.

Clinical trials often involve multiple data sources—lab results, imaging, ePRO devices, and more. As a Clinical Data Manager, ensuring these sources align with the main EDC system is critical to data quality, compliance, and patient safety.

You’ll learn:
✅ What external data reconciliation means and why it’s important
✅ Common external data sources and how they integrate with clinical trial databases
✅ Challenges like mismatched formats, missing records, or delayed vendor files
✅ Best practices to ensure consistency, traceability, and regulatory readiness

This episode is designed for fresh graduates and newcomers who want to understand how multiple streams of data are brought together into a clean, unified dataset for clinical analysis.

✨ These videos are crafted with the support of AI technology to enhance storytelling and clarity. The concepts, structure, and educational direction are my own professional effort, grounded in over 20 years of experience mentoring Clinical Data Managers.

🎥 Subscribe to follow Maya’s journey and continue building the foundation for your career in Clinical Data Management.

#ClinicalDataManagement #ExternalData #ClinicalTrials #ClinicalResearch #PharmaCareers #DrugDevelopment #DataManagement #CareerGrowth #AIinEducation #Mentoring #ProfessionalDevelopment