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Basic Analytics

Your foundation for smarter research.

Essential insights for every cohort

TriNetX LIVE™ Basic Analytics delivers the core capabilities you need to turn complex patient data into clear, research-ready insights.

With tools for feasibility, forecasting, and data quality built in, the analytics in TriNetX LIVE™ offer instant visibility into the insights that matter most — all in a powerful, easy-to-use interface.

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How can it help you?

Discover how TriNetX LIVE™ Basic Analytics support your research

Analyze Criteria

Quickly visualize how each criterion impacts your cohort population to identify which inclusion/exclusion criteria are most restrictive in real time.

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Site Dashboard

Easily identify, understand, and engage with the healthcare organizations and sites best aligned to your study to accelerate trial opportunities.

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Browse Network

View patient demographics, diagnoses, medications, procedures, and labs across networks with instant network-wide insights.

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Rate of Arrival

Predict how many new patients will meet your criteria in the next year with historical data, forecast projections, and interactive graphs.

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Want to learn more?

Explore our latest insights

The Real-World Data Advantage: Why Clinical Operations Teams are Rethinking AI Strategy
eBooks

Download our latest eBook to learn how TriNetX is combining the world’s largest RWD network with advanced AI to accelerate protocol design, site selection, and patient recruitment.

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Blogs

We are honored to share that TriNetX has won the “Clinical Trial Innovation Award” in the 10th annual MedTech Breakthrough Awards.

TriNetX® Wins “Clinical Trial Innovation Award” in 10th Annual MedTech Breakthrough Awards Program
Press Releases

Landmark 10th Annual Awards Program Recognizes the Most Innovative Digital Health and Medical Technology Solutions Worldwide. [External]

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Case Studies

By partnering with TriNetX, one global pharma organization embedded real‑world data and transparent AI‑enabled query translation directly into existing design workflows.

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