The Utility of Study Insight Analytics (SIA) Algorithms in Identifying Scoring Error Risks in the Clinical Dementia Rating scale (CDR)

The present study, using a large, aggregated dataset across multiple AD trials, demonstrated the utility of SIA algorithms in detecting data inconsistencies that help identify problematic assessments in CDR. The very strong association between flags triggered and error rates suggests that the algorithms can serve as a proxy for identifying assessments that are predictive of scoring errors and to surface these assessments for review/remediation.