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Unstructured data collection from image capture technology can be harnessed to improve the quality of patient-reported data and serve as the bedrock for the training of new algorithms that can help clinicians more accurately diagnose disease.

Enhancing Electronic Patient-Reported Outcomes with digital instruments streamlines and accelerates data collection, making clinical trials more accessible.

Leveraging real-world examples from the first fully decentralized clinical trial in the urogynecology space, our presenters discuss the ways in which technology has helped to increase patient recruitment, engagement, and patient completion rates.

This study collected and compared stool ratings from caregivers (Group A), central raters (Group B), and pediatric gastroenterologists (Group C) to discover whether the level of stool consistency of a given photo is more prone to inter-rater variability. The study's results evidence inter-rater variability that is different across Bristol Stool Scale (BSS), which motivates research into standardized training or automated scoring, with a special emphasis on BSS.

Moving into 2022, decentralized models, propelled by breakthroughs in digital technology, will continue to reshape the industry, improving trial outcomes.

Pain is a universal human experience—and finding ways to relieve or better manage it continues to be a priority for the life sciences.

In a recent study, we found that caregivers both underreported and overreported certain stool consistencies compared to clinician ratings. We need to make it easier for parents to report in clinical trials. See why digital image capture is an improved method for assessments of treatment efficacy and health status for pediatric GI research.

In the second of our two-part series, we explore how integrating mobile technology into study design can help attract and retain minorities and women as trial subjects.