For years, this laborious step has ranked as the lengthiest of study startup activities, and recent data suggest it remains the primary cause of site activation failure1. Some 50.5% of sponsors and 54.3% of contract research organizations (CROs) cite it as the main culprit.
Fundamental to changing this impediment are the growing numbers of forward-thinking organizations who understand the importance of breaking down key benchmarks into their components – the sub-steps – to better identify where bottlenecks might occur.
Measuring these sub-steps is critical to building prediction models that identify processes causing bottlenecks. With a predictive capability, grounded in workflow-based metrics, it becomes possible to condense contract cycle times, presenting a significant opportunity for optimizing clinical trial operations.
As the clinical trials sector continues embracing tools designed to capture contracting and budget cycle time metrics, they can empower intelligence and decision making at the site, sponsor, and CRO levels.
 Harper B, Wilkinson M, Lamberti MJ, et al. Tufts CSDD-goBalto Site Selection Market Research (START II). Tufts Center for the Study of Drug Development. June 30, 2017. Available at: https://go.oracle.com/LP=80941?elqCampaignId=203519
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