CluePoints' data quality assessment exposed a systemic issue behind one positive outlier in a Phase I neurology study.
Traditional monitoring missed a minor data anomaly that signalled a larger risk to secondary endpoints. The sponsor used CluePoints' Patient-level Data Quality Assessment within its RBQM platform. It detected the issue early and took corrective action; the page gives no figures.
CluePoints is a risk-based quality management and central statistical monitoring platform used by sponsors and CROs to detect data quality, fraud and safety issues in trials
This sits in the Ship stage of the AI use-case lifecycle: Named examples from the vendors pharma teams use to get an AI system live inside a real, regulated production workflow — validation, CRM, safety and clinical systems of record.
Published by CluePoints on its own site — read the original case study on lp.cluepoints.com ↗
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