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Capturing and assessing patient-reported outcomes is key to driving patient centricity in healthcare research and delivery. However, the life sciences industry has frequently struggled to gather adequate, high-quality participant data in clinical trials, resulting in costly delays for study teams.

In this post, we provide a comprehensive breakdown of the key challenges and opportunities associated with virtual clinical trials, examining the nuances of virtual components and how their implementation might affect each stage and touchpoint of the clinical trial journey.

Clinical trial sponsors are constantly seeking ways to collect better data, faster—accelerating clinical trials. Meanwhile, patients are increasingly likely to access healthcare services and interact with healthcare professionals digitally. Growing usage of telehealth also impacts patients’ expectations of clinical trials, with convenience and accessibility taking center stage.

Hybrid clinical trials drive efficiency, engagement, and effectiveness in clinical research. See whether a hybrid model could be a fit for your upcoming study.

ObvioHealth highlight the benefits of incorporating DCTs, as well as the challenges associated with DCTs, and call out specific use cases for DCTs.

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.