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Applications of Data Analytics During the COVID-19 Pandemic

Signant’s Alan Kott discusses how the COVID-19 pandemic brought unique challenges to clinical trial research, especially in terms of patient safety and data validity.

From the perspective of data analytics, the impact of the pandemic can be broken into two broad categories: operational disruptions and direct impact on patients.

Quality data concerns include partial or missing data, data tampering, data fabrication, and frequent raters or assessment modality changes. 

See how sponsors leveraged this technology to protect data quality during the COVID pandemic. 

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