Making Sense Of Metrics: A Gateway To Optimize Study Startup

By Jae Chung, Vice President, Product Management/Strategy

Clinical trial teams have a good reason to adopt cloud-based technologies and advanced data analytic tools to optimize performance. However, combining data from different sources does not necessarily lead to useful insights or early identification of risks. It is crucial to have specific performance metrics that measure the intricacies of clinical trial operations and enable the identification of bottlenecks and opportunities for improvement.

These various metrics will typically cover items such as cycle times, touchpoints, and quality measures—all of which can be used to improve study start-up processes. The author of this article also emphasizes the need for a data-driven approach and collaboration between various stakeholders to achieve optimal results. Given the challenges that pharmaceutical companies face in study start-ups, discover how teams can utilize metrics to streamline these efforts and achieve better outcomes in clinical trials.