Improving Signal Detection in Rare Disease Clinical Trials with Innovative Data Quality Programs

In rare disease clinical trials, each data point is particularly critical. However, gathering accurate, high-quality data is challenging due to a variety of factors. Efficient rater training and data quality monitoring practices can help study teams improve signal detection and optimize budgets. In this whitepaper, you’ll gather case examples from a range of rare disease studies that show how clinical trial sponsors are using smart rater training and data monitoring approaches to increase study efficiencies and overcome common obstacles.

Dr. Pam Ventola—Senior Science Director for Pediatric and Rare Disease at Cogstate—outlines tailored rater training tactics that eliminate unnecessary burdens on busy sites, strategic programmatic designs that improve timelines while maintaining accuracy of results, and methods of data quality monitoring that can reduce budgets and keep data clean.

Download the whitepaper below to learn more.

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