Global Survey on the Impact of Decentralized Clinical Trials (DCTs) on Sponsor-CRO Collaborations
The Tufts Center for the Study of Drug Development at the Tufts University School of Medicine is conducting an ambitious global study to characterize and benchmark the impact of decentralized clinical trials (DCTs) on sponsor-CRO collaborations. This is one of the most comprehensive surveys of its kind among clinical research professionals and it will gather critical baselines to compare against future results. We are focused on gaining insights and perceptions on this topic across a wide range of organizations and appreciate your time on this research.
Please click on the link below to complete the survey: Take the Survey
The survey should take approximately 30 minutes of your time. Your responses will be strictly confidential and will only be reported in the aggregate; none of the study findings can be traced back to any individual or organization. A summary report of de-identified, aggregate results will be shared with 10 pharmaceutical companies and contract research organizations (CROs) that funded the study. In appreciation for completing the survey, we’ll send you a summary of the results. Thank you in advance for your participation in this important research effort!
Please complete the survey by March 25, 2022.
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.
