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The rapid expansion of the clinical research market in the Asia-Pacific (APAC) region has opened up significant prospects for carrying out decentralized clinical trials there.
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.
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.