As clinical research grows increasingly complex, our industry needs clinical data managers to step into the future as strategic data scientists – driving predictive insights, risk-based trial oversight, and cross-functional leadership. To achieve this broader vision, however, we must move beyond the historical burden of manual reconciliation and reactive data cleaning.
We believe meaningful progress in clinical operations starts with open collaboration and knowledge sharing. That is why we are hosting a session to explore how shifting data quality to the point of capture creates the foundation for this role evolution.
We invite you to join us:
Quality at the core: Driving efficient clinical trials from the point of capture
Date: November 12, 2026
Time: 4:00 PM UK / 11:00 AM ET
In this webinar, we will examine the root causes of poor data quality at the source – such as manual transcriptions, verbatim text entry, and redundant system inputs – and quantify the operational burden placed on data management and CRA teams. We will then explore how modern technologies, including automated data capture and point-of-entry medical coding, prevent errors before they occur, freeing teams to focus on higher-impact scientific goals.
What we will explore together:
- Key approaches to eliminate errors at the point of data entry.
- The ripple effect of bad data on clinical monitoring and data management workflows.
- The strategic benefits clean data delivers to overall trial timelines and execution.
Whether you are leading a data management team, refining trial operations, or simply exploring the future of clinical data science, we hope the perspectives shared in this session will offer practical value to your work.