Identify the best performing sites for your trial in less time with new machine learning and predictive modeling methods.
The biopharma clinical research ecosystem has been undergoing a significant evolution in the last five years as technological, environmental, societal, regulatory, and geopolitical shifts have re-shaped the clinical trial pipeline of activity and operations. Together these changes have converged to enable the emergence of new global players and in places, these shifts have contributed to execution challenges, delays, capacity concerns, and ongoing uncertainty resulting in slower clinical development program timelines with impact on patient treatment options and outcomes. With these changes, clinical trial country prioritization has become a critical focus across clinical research stakeholders.
This report sets out to characterize the need for clinical trial global diversification by assessing trends in enrollment timelines, trial characteristics, and country utilization over the past five years. It examines the recent shifts and consolidation in regional and country clinical trial allocation, including analysis of the role of single country trials.
Identify the best performing sites for your trial in less time with new machine learning and predictive modeling methods.
Increase transparency, improve communications and reduce administrative burden for all clinical trial stakeholders.
Helping Sites and Investigators grow through innovation and collaboration