Clinical Analytics

elluminate Clinical Analytics is a comprehensive AI-powered analytics platform designed for life sciences organizations seeking to transform clinical and operational data into meaningful insights and actions. Trusted by more than 50 life sciences companies, it serves data management teams, medical monitors, clinical operations professionals, and clinical programmers who need a unified, intelligent view of their trial data without relying on manual Excel trackers or line listings.

By consolidating data from numerous sources into a single source of truth, elluminate Clinical Analytics eliminates data discrepancies, accelerates the data review process, and enables teams to make faster, more informed decisions across all stages of a clinical trial.

Clinical Data Review Capabilities

• More than 50 out-of-the-box visualizations available immediately, providing improved review capabilities to clinical teams without lengthy setup.
• Coverage across 12 standard data domains, giving teams broad visibility into patient data from the outset.
• AI-powered outlier and anomaly detection that surfaces data issues that may be missed in traditional tabular review formats.
• Oncology-specific visualizations including Hy's Law and Tumor Response to support specialized medical monitoring needs.
• Integrated issue workflow and management tools that allow users with appropriate permissions to create, track, and document issues directly on data found within the platform.
• Custom sheet creation and duplication for users with edit permissions, enabling teams to tailor visualizations to their specific study requirements.

Clinical Trial Operational Analytics

• More than 20 trial operational visualizations designed to support more effective trial management and regulatory compliance.
• Instant insights into patient enrollment, data quality at investigative sites, and visit timelines, powered by predictive analytics.
• Real-time access to key operational metrics including patient recruitment statistics, protocol deviation numbers, screen fail rates, and biomarker results.
• Self-service data analysis and report creation combined with issue tracking and workflow tools to document oversight activities.
• Flexible analytics architecture capable of addressing a wide range of trial management challenges, including biomarker sample tracking, endpoint analyses, and cross-trial analyses.

Multi-Study and Cross-Trial Functionality

• All studies within an environment that have Clinical Analytics enabled and the appropriate data domains configured are available by default.
• Data can be filtered to display results from a single study or viewed across all studies simultaneously, providing flexibility for portfolio-level oversight.
• The initial configuration of the environment can be completed within days, with more advanced features such as graphical patient profiles or exception listings available within weeks.

AI and Intelligent Insights

• AI-powered anomaly and outlier detection helps clinical teams identify data issues that are difficult to spot in tabular formats, as demonstrated by users who discovered outliers in lab data only after switching to graphical views.
• Predictive analytics capabilities support proactive trial management by surfacing trends and potential risks before they escalate.
• AI and machine learning are embedded throughout the platform to enhance both clinical data review and operational decision-making.

elluminate Clinical Analytics is part of the broader elluminate platform, which integrates data from any source into a unified clinical data cloud. It is designed to work alongside complementary products including Risk-Based Quality Management, Operational Insights, and eIQ Review, enabling organizations to modernize and automate their end-to-end digital data flow across the full clinical trial lifecycle.