Clinical trial technology platforms generate millions of operational datapoints every day. Audit trails, document workflows, signature activity, task completion patterns, and user interactions are routinely captured to satisfy compliance requirements, yet most organizations use only a fraction of this information.

As clinical research increasingly focuses on predictive management and proactive oversight, operational data are emerging as powerful sources of insight into site performance, study execution, and potential risk.

This panel session will explore how organizations can move beyond compliance-focused data collection and begin using operational workflow data to identify bottlenecks, predict delays, optimize resource allocation, and improve study outcomes in support of Quality by Design, risk-based quality management, and future artificial intelligence-enabled decision making.

CEU: 1.0 ACRP

Speaker:

• Andrea Bastek, VP of Market Strategy, Florence Healthcare