Sharp Thinking A New Angle on Clinical Trial Management Systems

New technologies are inevitably heralded as making life simpler: streamlining tasks, eliminating steps, managing things so you don’t have to manage them. Yet the practical application of a new technology often seems to make things more complex.

Clinical trial management is a case in point. Contract Research Organizations (CROs) and sponsors are juggling increased data volume, increased data variety and the demands of risk-based monitoring, all in service of risk-based quality management (RBQM). Even though technology generates critical reports, calculating results and organizing facts, the reports themselves are often static. Someone still wrestles with the task of manually piecing together files and trial data.

These strategies are rooted in legacy methods and old thinking from the days when trial data was predominantly captured on paper. Why are software and services companies still trying to sell CROs and sponsors technology that requires manual engagement of any sort as an upgrade?

Across every industry, new technologies invite—and demand—fresh approaches to the task itself. Google Maps eliminates the need to manage paper maps, navigating between pages when you moved from one town or state to another; Waze takes that a step further by integrating information previously available only to those with CB radios. Clinical trial management software is no different. It should not simply move the same steps you took before into an online platform. It should revolutionize the steps themselves, to deliver on the promise of simplification and speed.

This webinar will explore how to think about the technological challenge from a new angle—which may even spur CROs and sponsors to rethink the technology partners they engage with.

What You Will Learn

  • The problem with choosing traditional business intelligence methodologies for quality management and risk-based monitoring
  • Why risk-based monitoring tools are not add-ons to existing tools but a means of consolidating capabilities
  • How to consolidate and operationalize systems and business intelligence tools