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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.

ObvioHealth, a leading global Virtual Research Organization (VRO) pioneering end-to-end decentralized clinical trial solutions, announces the development of two novel digital instruments to increase accuracy and reduce patient/caregiver burden in pediatric clinical trials.

ObvioHealth and 1nHealth announce today a joint initiative to smooth the transition to hybrid and decentralized clinical research. The initiative focuses on supporting clinical trials that may be struggling due to suboptimal protocol design, imprecise recruitment strategies, maladapted technology options or ailing site teams. According to clinicaltrials.gov, there are about 1,600 suspended trials at present.

How do increasingly prevalent DCT methods fit into the existing clinical trial ecosystem? In short: There are complexities. Many eClinical platforms still lack key capabilities, which often require complex integrations with third-party solutions.

ObvioHealth, a leading global Virtual Research Organization (VRO) delivering end-to-end decentralized clinical trial solutions, announces it has completed the first fully virtual urogynecology study in partnership with trial sponsor, Renovia, Inc. The trial validated the efficacy of Renovia’s leva® Pelvic Health System on women’s incontinence, a health concern that affects 62% of U.S. adult women.

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

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.