Pharmasol Launches New psiXchange Capabilities
Pharmasol has announced the availability of psiXchange version 2.4, which automates the safety document distribution process within clinical trials. PsiXchange is an automated system that establishes relationships between data from multiple sources. The new enhancements within this release include expanded site views, enabling support of clinical operations and site-based teams, and provides information in real-time to a variety of global recipients involved in the drug safety management chain.
Safety documents like suspected unexpected serious adverse reactions (SUSARs), line listings and development safety update reports (DSURs) can be sent to all recipients including sites, ECs (ethics committees), IRBs (institutional review boards), and others through Safety Central (the smart portal that is part of psiXchange). These safety documents are automatically distributed using the embedded country rules and recipients’ language preferences.
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Driving Diversity with the Integrated Research Model
October 16th 2024Ashley Moultrie, CCRP, senior director, DEI & community engagement, Javara discusses current trends and challenges with achieving greater diversity in clinical trials, how integrated research organizations are bringing care directly to patients, and more.
AI in Clinical Trials: A Long, But Promising Road Ahead
May 29th 2024Stephen Pyke, chief clinical data and digital officer, Parexel, discusses how AI can be used in clinical trials to streamline operational processes, the importance of collaboration and data sharing in advancing the use of technology, and more.
The Rise of Predictive Engagement Tools in Clinical Trials
November 22nd 2024Patient attrition can be a significant barrier to the success of a randomized controlled trial (RCT). Today, with the help of AI-powered predictive engagement tools, clinical study managers are finding ways to proactively reduce attrition rates in RCTs, and increase the effectiveness of their trial. In this guide, we look at the role AI-powered patient engagement tools play in clinical research, from the problems they’re being used to solve to the areas and indications in which they’re being deployed.
