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Transforming Data Management in Clinical Research

The complexity of clinical trials is rapidly increasing, driven by factors like the COVID-19 pandemic, greater focus on patient experiences, and more intricate trial protocols. As trials now rely on numerous data sources and adaptive designs, traditional clinical data management (CDM) systems are struggling to keep up. These systems often involve a mix of tools from various vendors that lack interoperability, making data management even more challenging.

To adapt to this environment, CDM must evolve swiftly, utilizing a modern, intelligent platform that addresses current trial complexities. This white paper explores the three essential pillars for building such a platform: data integration, automated real-time monitoring, and patient-centered design.

Two case studies illustrate the impact of an intelligent CDM system. In one, missing data in a large vaccine trial was detected in near real-time, while in another, patient safety risks were mitigated by employing a comprehensive approach to data capture and monitoring.

Download this PDF to learn more about the future of CDM and how your organization can stay ahead.