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Datasets

Unlock deeper insights with fine-grained, date-stamped data from more than 150 million patients around the world.

Start with the right source

TriNetX real-world datasets are clinically rich, harmonized, and directly sourced from our federated global network of healthcare organizations.

Supported by our dedicated team of data scientists and internationally recognized real-world evidence researchers, our datasets deliver billions of high-quality, date-stamped observations, harmonized into formats suitable for your research.

Because our datasets are sourced live from healthcare organizations within our federated network, you’ll always have access to the freshest EHR insights—with new observations, results, and medication orders regularly updated, so you can accelerate your research with the very latest from the frontline of patient care.

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TriNetX Dataworks™

Downloadable, row-level, de-identified EHR patient data in a ready-to-use format for analysis or incorporation into your internal research platform.

Each dataset is fit for purpose, aligned to specific therapeutic areas, and available with optional enhancements at your request.

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TriNetX Linked™

EHR data may capture what happens in the hospital and ambulatory clinic, but that’s just a fragment of the story.

Our linked dataset fills in the gaps by bringing together enriched EHR, medical, and pharmacy claims, mortality, and SDoH data for detailed, longitudinal analysis, enabling comprehensive analysis of patient journeys, costs, and outcomes across care settings.

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Your premier source for real-world oncology analyses in Europe

Uncover crucial insights into disease prevalence, treatment patterns, and market dynamics across Europe with timely, longitudinal cancer care data.

With TherapyMonitor™, you gain access to in-depth, patient-level insights from the latest European oncology data, tailored to your study objectives by our Europe-based oncology experts.

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Want to learn more?

Explore our latest insights

Why Clinical AI Requires Local Validation to Perform Across Regions
Case Studies

A peer-reviewed study evaluating an AI model for hepatocellular carcinoma (HCC)
risk prediction highlights that AI success in global clinical development depends on access to scalable, standardized, and federated real-world data infrastructure.

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Blogs

The Pinnacle Awards named TriNetX as a Platinum winner in AI Solutions for Clinical Research & Data Insights at the 2026 Pinnacle Technology Awards.

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Blogs

Most clin ops leaders know intuitively that their AI results have been inconsistent. Fewer know exactly which part of the data foundation is responsible, or what specific questions to ask to find out.

Privacy-Preserving Federated Analytics
RWD Insights

Run time: 8 mins. As global privacy regulations tighten, researchers can no longer rely on centralizing patient data to conduct multi-site studies — yet the demand for large-scale real-world evidence has never been higher.

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