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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.

One of the keys to optimizing ePRO is deploying artificial intelligence (AI) to support human participants and clinical teams.

The unique challenges associated with women’s health, and women as a cohort, make clinical research in this sector especially difficult. DCTs are helping to tackle the obstacles.

eConsent can mitigate these shortcomings by providing flexibility and engagement that empower patients with information and sponsors with data integrity.

Diversity in clinical trials is a scientific imperative, a moral and ethical necessity—and a longstanding challenge in clinical research. DCTs are evolving the industry status quo.

Combining the ease of ePRO with expert rating—patient convenience with the objectivity of experts—facilitates more accurate data collection.