Risk-Based Quality Management (RBQM):
The Connective Tissue for Clinical Data Quality
Clinical data quality is not the sole responsibility of any one function—it is a shared commitment that begins well before the first patient is enrolled. So why is risk-based quality management (RBQM) still often viewed as a monitoring-only exercise?
One key reason may be that many RBQM implementations fall short due to fragmented data sources, limited real-time access and a lack of advanced tools to proactively identify and manage risk.
In this webcast, the expert speakers will introduce a more integrated approach—positioning RBQM as the connective tissue of clinical operations.
What You Will Learn:
- How RBQM should not be limited to monitoring but integrated throughout the trial lifecycle to ensure proactive data quality oversight.
- How many organizations struggle with RBQM due to the lack of a unified data source, real-time access and advanced tools for early risk detection and decision-making.
- How RBQM can serve as a “connective tissue,” fostering cross-functional collaboration and embedding data quality oversight into trial operations from the outset.