From Protocol Chaos to Scalable Quality in Multi-Site Neuro Trials

Multi-site neuroimaging trials face predictable quality risks as they scale: protocol deviations, scanner variability, manual review bottlenecks, and limited visibility into site performance. Left unmanaged, these issues slow studies and compromise data consistency.

This webinar will show how imaging teams implement centralized, auditable quality control in real multi-site trials and explore:

- Harmonizing Imaging Protocols: Best practices and pitfalls in multi-site imaging standardization
- Automated Protocol Verification: DICOM header validation demo catching deviations at upload, demonstrated through an 11-site NIH trial
- Scalable Quality Workflows: Centralized review architecture with audit trails, achieving 50% cost reduction and 75% site burden reduction

Learn how to reduce manual review time, cut costs, and ensure data consistency across all your sites.