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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.

When it comes to clinical trials, DCT and digital therapeutic (DTx) companies are natural partners. Both are tech savvy and adept in digital health

Decentralized clinical trials offer an effective avenue to mitigate the issues that typify pediatric clinical trials, including patient-reported data accuracy.

Though incidences of pneumonia have decreased overall, the disease is the leading infectious cause of death in children globally, affecting 1 in 6 child deaths.

In our conversations with trial sponsors, ObvioHealth often tackles common misconceptions about decentralized clinical trials (DCTs). These myths hinder our industry’s evolution by keeping sponsors from designing optimal trials that deliver better data with higher retention and compliance rates.