May 13, 2025
11 a.m. EST

Traditional monitoring strategies, such as source data review (SDR) and source data verification (SDV), have long been the cornerstone of ensuring clinical trial data quality. While effective in the past, these methods are resource-intensive, costly, and do little to improve data quality. With advancements in technology and data analytics, centralized monitoring has emerged as a key contributor to monitoring, allowing for significantly reduced SDR and SDV sampling strategies.

Centralized monitoring, a key component of risk-based quality management (RBQM), offers a broader and more comprehensive view of trial data, enabling faster deviation identification and reducing monitoring costs by up to 20%. Despite its potential to optimize clinical trials significantly, the industry has been slow to adopt centralized monitoring and shift away from traditional approaches like SDR and SDV.

Join us for this insightful webinar as we explore the evolution of monitoring strategies in clinical research. We will examine the limitations of traditional methods, the benefits of transitioning to centralized monitoring, and why this innovative approach should become the new standard for driving clinical trial excellence.

The audience will gain insights into: