TRIO and eClinical Solutions to Power Digital Transformation in Cancer Trials
eClinical Solutions LLC has announced that Translational Research in Oncology (TRIO) has selected eClinical’s elluminate clinical data platform for its trial processes across its network of 700+ cancer centers.
The variety of digital health data now collected in clinical research have provided tremendous opportunities for scientific breakthrough. In the last decade, the volume of clinical data has grown by 183%, with over two-thirds of sponsors now using or piloting at least four different data sources in their trials. Despite significant innovation in data collection platforms and capabilities, including those for decentralized clinical trials (DCT), there has been less innovation on the process of ingesting, reviewing, organizing and analyzing these data streams. 75% of companies still rely on existing excel and SAS infrastructure to organize their data once it has been collected.
For more information, click here.
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.
