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Webinar: Bringing Predictability and Optimization to the Contracting and Budgeting Process in Study Startup

by Craig Morgan
04Dec2018

Save your seat for this upcoming webinar! 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 failure. Some 50.5% of sponsors and 54.3% of contract research organizations (CROs) cite it as the main culprit.

Webinar: Bringing Predictability and Optimization to the Contracting and Budgeting Process in Study Startup

Title: Bringing Predictability and Optimization to the Contracting and Budgeting Process in Study Startup

Description:

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.

Learning Objectives:

  • How granular metrics empower business intelligence, process optimization and efficient resource allocation
  • How standardize metrics aid in benchmarking and building predictability models
  • How site selection and engagements can be improved with real-time contracting metrics
  • The importance of using metrics to have stakeholder discussions on the thorny issues associated with delays and bottlenecks

When:

Tuesday, December 11
1 pm ET
10 am PT

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Presenters:

Barry Milton
BARRY MILTON
Head of Business Operations
Novartis
Barry is a clinical trial and operations management expert. His experiences as an Oncology nurse, clinical trial coordinator and his senior management roles at Novartis, Roche, Merck, and AstraZeneca provides him with a well-rounded set of skills and experiences in the clinical trial space. His passion is transforming study management and trial execution processes through the creation of optimized business processes, which are supported by facilitating systems, which allow sponsor and investigator teams to meet their patient and clinical program goals faster and more efficiently.
Joan Chambers
JOAN CHAMBERS
VP Marketing & Strategy
ClinX, parent company of ClinEdge
Joan is the Vice President of Marketing and Strategy at ClinX, a global service solutions provider for research sites, patients and healthcare organizations. Prior to joining ClinX, Joan's 20+ years in the health life sciences industry includes working in senior management roles at SCORR Marketing, CenterWatch, Cambridge Healthtech Institute, Tufts Center for the Study of Drug Development at Tufts University, and PAREXEL International. Joan holds a B.S. in Marketing.

Joan is on the Board of Directors for Greater Gift, The Center for Information and Study on Clinical Research Participation (CISCRP), the US PharmaTimes Steering Committee for CROY, Steering Committee for Pharma Intelligence/Informa Clinical & Research Excellence Awards, Steering Committee for PopUp Star and is an active member of the Association of Clinical Research Professionals (ACRP) and the Drug Information Association (DIA).
Elvin Thalund
ELVIN THALUND
Senior Director, Industry Strategy
goBalto
Elvin is a recognized industry expert in clinical trials, having over twenty years of experience working as a Clinical Business Analyst Consultant at major pharmaceutical companies including, Hoffmann-La Roche and Johnson & Johnson. Elvin works as a product strategist and system architect in goBalto’s effort to optimize Study Startup. Elvin is the co-chair on the TMF Reference Model Exchange Mechanism and holds a Master of Science in Industrial Engineering from Aalborg Universitet.

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