A dermatology company monitored 24+ sites and 680 participants in a Phase 3 study with CluePoints' ML-based RBQM.
The team needed to protect data integrity and patient safety and find significant errors early. They used CluePoints RBQM, which applies advanced statistics and machine learning. The page cites 24+ sites and 680 participants and early detection of potential issues.
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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