insights

Resources

Explore how healthcare organizations, researchers, and life sciences partners from our global community use TriNetX to turn real-world patient data into evidence that drives progress.

ISPE to Impact: Shaping the Next Era of Pharmacoepidemiology with Real-World Data
Blogs

Reflecting on the discussions from this year’s International Society for Pharmacoepidemiology (ISPE) Annual Meeting and looking ahead to the future of the field, I’m struck by the steady but significant evolution pharmacoepidemiology is undergoing driven in large part by innovations in real-world data (RWD).

TriNetX Dataworks-USA: Overview of a Multi-Purpose, De-Identified, Federated Electronic Health Record Real-World Data and Analytics Network and Comparison to the US Census
Publications

Many clinical data networks often focus on a single use-case or disease. By contrast, the TriNetX Dataworks-USA Network contains real-world clinical information that can be applied to multiple research questions and use cases.

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Publications

To characterize the use of and factors associated with GLP-1 initiation among US adults undergoing bariatric surgery.

Sanofi UK and Royal Berkshire NHS Foundation Trust Optimize Clinical Trial Recruitment with Technology-Driven Feasibility and Site Selection Process
Case Studies

Sanofi UK, a leading pharmaceutical company, sought an innovative solution to address challenges in clinical trial recruitment and feasibility.

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Publications

There has been a proliferation of large-scale electronic health record (EHR) data platforms that pool across multiple healthcare organizations

CSO Perspectives: Research Impact Report: Unlocking Rare Disease Insights
eBooks

Discover how partnering with TriNetX will enable you to advance rare disease research.

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Blogs

In just a few years, real-world data (RWD) has evolved from an industry buzzword to a core driver of progress in drug development. What used to be experimental is now operational and increasingly essential. In the 2025 TriNetX and studioID survey of 150 senior biopharma executives, more than three-quarters said their organizations are already applying RWD across some part of the drug development lifecycle. We’re clearly well beyond the pilot phase.

Association between ankyloglossia and pediatric obstructive sleep apnea: A retrospective cohort study using a global health network
Publications

Pediatric obstructive sleep apnea (OSA) affects an estimated 1–3 % of children, corresponding to over 40 million cases globally.

New TriNetX Research Impact Report Illuminates How Real-World Data is Fueling Rare Disease Innovation
Press Releases

Analysis reveals strategic opportunities for pharmaceutical leaders to close treatment gaps and accelerate breakthroughs in underserved rare disease communities.

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Publications

TriNetX is compliant with the Health Insurance Portability and Accountability Act (HIPAA), the US federal law which protects the privacy and security of healthcare data. TriNetX is certified to the ISO 27001:2022 standard and maintains an Information Security Management System

Clostridioides difficile Infection in the United States of America-A Comparative Event Risk Analysis of Patients Treated with Fidaxomicin vs. Vancomycin Across 67 Large Healthcare Providers
Publications

Clostridioides difficile infection (CDI) is a major cause of infectious diarrhea in the inpatient and community setting

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Case Studies

Dr. David Karp, Chief of the Division of Rheumatic Diseases at UT Southwestern Medical Center, leads research efforts in systemic lupus erythematosus (SLE), a rare and complex autoimmune condition that disproportionately affects women of color.

Upcoming Webinar

From Data to Evidence: A Framework for RWD Study Design & Causal Inference

Thursday, July 16 | 11am ET

Generating credible evidence from real-world data (RWD) requires more than access to data — it demands intentional alignment between the research question, study design, and data source. Yet even experienced teams fall into the trap of starting with the data and working backward, a shortcut that can undermine the trustworthiness of study findings.

Join TriNetX Chief Scientific Officer Jeffrey Brown, PhD, and Miguel Hernán, MD, PhD, ScD, Director of CAUSALab at Harvard, as they walk through a practical framework for designing rigorous RWD studies for causal inference. Attendees will leave with concrete tools for sequencing their research approach, evaluating data fitness, and applying sound decision-making to their own studies.

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Join a global community of innovators. Discover how to turn real-world data into groundbreaking clinical insights.

Meet TriNetX at Events

Bridge the gap between raw data and patient care. Meet the team at flagship healthcare conferences across the globe, and learn how to leverage the TriNetX ecosystem to streamline trial timelines, improve site collaboration, and publish research that changes lives.

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