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Real-World Evidence Research

Specialist end-to-end consultation to strengthen evidence strategies and improve research outcomes.

Regulatory-grade data for more impactful research

TriNetX data is research-grade and research-ready. No matter the analyses you conduct with our data, our experts are on hand to guide you from concept to publication.

From exploratory research to regulatory and safety studies, we help you turn our data into impactful evidence, tailored to your specific needs.

How can we support your research?

Identify unmet needs, assess disease burden and progression, and make smarter internal decisions with robust R&D studies informed by real-world data.

Demonstrate intervention value, healthcare utilization, and patient journeys through rigorous, data-driven HEOR studies.

Ensure compliance and support regulatory requirements with validated real-world evidence.

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Our RWE research services

Explore how we help you design and deliver quality data-driven research.

Study design and strategy

Develop fit-for-purpose study designs and strategies that produce robust, actionable outcomes.

Protocol and SAP development

Create detailed study protocols and statistical analysis plans (SAPs) that align with community standards to ensure quality, integrity, and acceptance.

Study implementation and dissemination

Deliver rigorous, process-driven studies, including expertly developed reports, manuscripts, and abstracts to share findings with targeted audiences.

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Project management

Collaborate with our industry and academic experts to drive innovation and address unique scientific questions.

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Speak to one of our experts

Ready to get started? Our RWD experts are a click away.

Want to learn more?

Explore our related insights

Terminal Ileum Resection and Colorectal Cancer Risk in Crohn’s Disease: What 19 Years of Real-World Data Show
Blogs

This independently conducted Brief Report, conducted utilizing the TriNetX LIVE™ platform, makes that case in terms that Health Economics and Outcomes Research teams need to confront directly with additional research and contextualization.

Deriving Breast Cancer Stage from Electronic Health Records: A Comparison of Gradient Boosting and Large Language Models Without Task-Specific Training
Poster Presentations

This study compares the performance of a classic ML model and a LLM in deriving breast cancer stage from structured EHR data.

Real-time estimation of the prevalence of exposures during pregnancy to novel therapeutics approved from 2021 to 2024
Poster Presentations

Electronic health record RWD sources may be a more viable approach to monitoring
medication use during pregnancy. We estimate exposure to novel therapeutics during pregnancy in a large EHR research network.

Conception of a framework to assess the capability of real-world data to respond to infectious disease research objectives
Poster Presentations

Infectious disease research spanning stakeholders and purposes can benefit from the inclusion of real-world data (RWD). The fit for RWD in
studying specific ID research components is not well-established beyond study-specific assessment.

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