Data variability is appropriate and expected during any clinical trial. Clinical parameters such as heart rate and blood pressure, for example, typically vary between patients or within a single patient between time intervals.
But when exceptionally high or low variability occurs due to unintentional human errors or potential misconduct, data integrity is compromised—putting the success of your clinical trial at risk.
Manually reviewing data variability poses challenges, as detection is both elusive and time consuming.
Now, there's IQVIA Data Variability Analytics (DVA)—the state-of-the-art AIML solution that detects, analyzes, and triggers alerts to data variability—virtually in real time
Enhance patient safety and study quality by using data, analytics, and technology to monitor patient, site, and study performance with risk-based and centralized monitoring.
Improve the performance of your clinical trials with the power of the IQVIA CORE.
Change the model of clinical research by integrating data, expertise, analytics and technology from study design through execution to power better decisions.
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