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.

TriNetX Becomes the Most Cited Real-World Data Source in Peer-Reviewed Research
Press Releases

With more than 2,000 citations and year-over-year growth nearing 80%, TriNetX outpaces competitors and fuels high-impact science published in top medical journals.

Overcoming AI Risk and Inertia to Build Data-Driven Clinical Trials of Tomorrow
Video

Run time: 41mins. Clinical research is at a crossroads. The technology exists, the data is available, and the ambition is clear, but adoption of truly integrating Artificial Intelligence (AI) and data-driven trials often stalls due to risk, trust, and organizational inertia

Proof in Publications – The Most Cited. The Most Trusted. TriNetX Real-World Data
Blogs

Discover why TriNetX is the most-cited EHR dataset in peer-reviewed publications. Explore how our high-quality real-world data (RWD) powers high-impact research in top-tier medical journals and drives global breakthroughs in real-world evidence.

A machine learning approach for automating review of a RxNorm medication mapping pipeline output
Publications

Medication mapping to standardized terminologies is an important prerequisite for performing analytics on a federated EHR network. TriNetX LLC operates the largest such network in the world.

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Video

Run time: 29mins. How can clinical research move from talking about diversity to embedding representativeness as a foundation of trial design? In this episode of The Future Prescription: Inside the Trends, industry leaders explore how equitable design can transform science, improve patient outcomes, and set a new standard for compliance.

TriNetX Named Among the Top 25 Healthcare Software Companies of 2025
Press Releases

Recognition by The Healthcare Technology Report underscores TriNetX’s innovation in real-world data, artificial intelligence, and clinical research transformation.

Clinical Trial Optimization: Key Strategies for Protocol Feasibility and Site Selection
Blogs

Clinical trials are the cornerstone of medical advancements, playing a pivotal role in the development of new treatments, interventions and understanding of diseases.

Putting Patients First: A Conversation with Ora on the Future of Clinical Trials
Blogs

In my role at TriNetX, I have the privilege of engaging with leaders across the clinical research landscape who are challenging the status quo and pushing us toward a more inclusive, tech-enabled, and patient-first future.

Biotech Playbook
eBooks

The clinical research landscape is evolving, and the demand for faster, more efficient trials has never been greater. From restrictive protocols, fragmented processes, and a never-ending amendment cycles.

Care Reimagined: The Shift Toward Patient-Centric Research
Video

Run time: 42mins. What happens when clinical research is redesigned around the needs, preferences, and lives of real people? In this episode of The Future Prescription: Inside the Trends, discover how sponsors and CROs are aligning clinical and commercial priorities to create smarter, more inclusive, and scalable studies.

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Publications

Excess aldosterone of > 15ng/dL, in the presence of low renin, is linked to hypertension (HTN) and chronic kidney disease (CKD)

Inclusion Is the New Standard: Biopharma’s Push for More Representative Clinical Trials
Blogs

As clinical trials evolve, one thing is certain: representativeness is no longer a nice-to-have; it’s a non-negotiable. The data are clear. In the 2025 TriNetX and studioID survey of 150 senior biopharma executives, 84% reported ramping up efforts to improve representativeness and accessibility in clinical research over the past few years.

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.

Meet