eIQ Review

eIQ Review is an AI-enabled system designed to enhance clinical data review processes by automating over 50% of manual tasks. It is part of the elluminate Clinical Data Cloud® and focuses on ensuring data integrity in a scalable and efficient manner.

The system uses advanced AI and machine learning models to detect anomalies and atypical patterns across various data sources. This capability allows clinical teams to focus on critical data domains, reducing the likelihood of costly errors and improving productivity without compromising quality.

Key Features

• Automated detection of anomalous data, minimizing manual review efforts.
• Advanced anomaly detection models that predict and identify atypical values.
• Capability to drill down into subject data for detailed analysis and follow-up actions.

eIQ Review is designed to optimize data review processes, decreasing cycle times and enhancing the detection of data anomalies. The AI models are ready to use from day one of a study, with user-friendly configuration options. Multiple models support various use cases across therapeutic areas and trial phases.

The system is embedded within the elluminate Clinical Data Cloud, allowing users to leverage existing platform capabilities for data ingestion and insights. This integration enables near real-time data review and management from a centralized location.

Additional Benefits

• Study data agnostic, supporting multiple therapeutic areas and both safety and efficacy domains.
• Includes AI-powered model analytics and performance monitoring dashboards.
• Full audit trail of findings for comprehensive tracking and accountability.

eIQ Review's AI/ML approach facilitates proactive management of data issues, with adjudication metrics feeding back into the models for continuous improvement. This ensures that the system remains effective and efficient in identifying and managing data anomalies.