Clinical imaging teams are expected to move fast, yet most spend countless hours switching between viewers, eCRFs, and spreadsheets. Manual steps have become a silent drain on time and accuracy, introducing compliance risks and slowing down every stage of review.
Each new protocol makes the process even more complex. Configuring workflows for different studies often means long IT projects, rigid systems, and layers of unnecessary manual oversight.
These aren’t just inefficiencies; they’re risks to data quality, audit readiness, and trial timelines.
When imaging data, measurements, and reviews live in separate systems, errors are inevitable. File naming mistakes, mismatched measurements, or delayed adjudications can all impact data integrity. In regulated studies, this means additional monitoring, queries, and delays in database lock.
Automation and AI can help — but only if they work with your team, not against it.
Join our live webinar, New Approaches to Automating Your Central Review from Upload to Database Lock, to see how QMENTA’s AI-powered imaging platform brings all review activities, upload, QC, measurement, and adjudication together in one unified environment.
You’ll discover how imaging teams can:
By integrating AI-driven automation into everyday workflows, radiologists and imaging operations teams can focus on what matters most: consistent, high-quality image interpretation.