Improving clinical trial enrollment performance requires an improvement in trial planning, tracking, and modeling, driven by powerful and complex mathematical models. At the same time, Clinical Trial Managers need IT solutions that mask this complexity from their users.
To model patient enrollment in clinical trials, Dr. Spera will describe a stochastic framework, discuss the algorithms needed to address patient enrollment, and present some computational results. This stochastic framework must be delivered in the context of automating the overall clinical trial enrollment business process. The model is an evolution from the Cox stochastic process framework as defined and proposed by Anisimov and Federov1, 2 into which two new elements have been introduced to address the practical concerns of Clinical Trial Managers. Dr. Spera will illustrate how this model works within the StudyOptimizer application from DecisionView, highlighting the strategic benefits, which include ease of use to create an optimized plan for clinical trial enrollment utilizing the stochastic framework, capability to track progress of trial enrollment and the ability to share plan, model corrections, and take appropriate actions using a collaborative architecture. Dr. Spera will conclude by illustrating how Decision View Company’s computational results are linked to economic metrics and drive competitive advantage.
The Global Clinical Trial Operations conference brings together leaders, directors, vice presidents, heads, managers, supervisors, and CROs from all over the world to collaborate and discuss the latest developments in clinical trial operations and logistics and covers clinical trials in emerging markets, first-in-man clinical trials, pediatric clinical trials, material storage, distribution, site selection, patient recruitment and retention, technology in clinical trials and case studies of running global clinical trials.
For more information including a detailed agenda, exhibitor opportunities and registration information visit http://gtcbio.com/
