How Standardizing Data Collection Enables Scalability In Clinical Trials

By Khone Saysana, Lead Data Management and Clinical Data Science at Roche Diagnostics; Walter Stoettner, Principal Data Scientist at Roche Diagnostics; and Nicole Latimer, CEO, Medrio

Life science companies are currently navigating a landscape marked by tightened capital and heightened scrutiny from global regulatory authorities on clinical data integrity. In response to these challenges, many organizations are increasingly focused on enhancing and expanding their research capabilities.

The solution lies in the standardization of electronic data capture systems, which promises improved efficiency, higher quality data outputs, and seamless scalability. Roche Diagnostics, for instance, manages nearly 200 clinical trials across more than 60 domains, maintaining a steadfast commitment to standardized practices for over a decade.

In this article, delve into the insights shared by Nicole Latimer, along with Roche Diagnostics’ Khone Saysana and Walter Stoettner. Explore crucial topics such as the importance of standardization in clinical trials, strategies for standardizing data collection processes across diverse settings, considerations for implementing standardization across multiple sites, effective training approaches for achieving data uniformity, and the broader significance of embracing standardized practices beyond mere data management.