Reduce Rater Variability With Independent Expert Assessments

In central nervous system (CNS) research, the strength of a clinical endpoint often hinges on the consistency of its measurement. However, rater variability, inconsistent scale administration, and the risk of functional unblinding frequently jeopardize study outcomes. To address these challenges, Signant’s Central Rating & Central Review services offer a multi-layered approach to safeguarding data integrity at the source.

These solutions provide several specialized pathways to reduce variability. Eligibility reviews prevent baseline score inflation by verifying patient diagnosis and disease severity from day one. For ongoing oversight, central rating and scoring models utilize a calibrated network of experts to deliver independent assessments, either remotely or by scoring site-recorded exams to ensure standardized results. Additionally, AI-augmented central reviews monitor scale administration in real-time, allowing for proactive site remediation before errors compromise the dataset. By integrating these services, study teams can significantly enhance signal detection and ensure protocol compliance throughout the trial lifecycle. This precision-focused framework transforms complex clinical observations into the high-quality evidence required for regulatory success.