AI-Assisted Data Reviews uses advanced AI models built for clinical data to automatically flag the data discrepancies manual review would catch — and draft the query text for you.
AI-Assisted Data Reviews is the foundation of Smart Data Quality. Advanced AI models, deployed directly inside SDQ, continuously scan incoming EDC and non-EDC data to identify discrepancies that would typically surface only through slow, sample-based manual review — then generate predefined query text ready for a data manager to approve. As a clinical AI pioneer — SDQ was one of the first AI solutions in the pharmaceutical industry — Saama builds advanced AI and machine-learning models trained for clinical data. Applied to data review, they cut query generation from roughly 30 minutes to about 3 minutes per term, so your team spends its time on judgment, not detection.
AI surfaces discrepancies that sample-based manual review routinely misses, and it does so continuously as data arrives instead of in periodic batches.
Model-generated query text removes the manual drafting step — reviewers simply confirm, edit, or reject.
Automating routine detection frees data managers to focus on high-value, judgment-driven review.
Built on cloud-based AWS architecture and validated on large, global trials.
To review and approve an AI-generated query
Down from roughly 27 minutes per query in a traditional manual review
AI models run inside SDQ against your study data and hand finished, reviewable queries to your team.
As EDC and non-EDC data arrive, AI models continuously evaluate it for discrepancies and inconsistencies — no rule needs to anticipate every case.
For each finding, SDQ generates predefined query text describing the issue in clear, consistent language.
Reviewers confirm, edit, or reject each AI-generated query; approved queries flow into the standard query and discrepancy-management workflow.
And it works with your rules. AI-driven detection runs alongside coded data-quality checks from the Integrated Rule Builder, so model-based and rule-based coverage operate as a single layer.
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