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.

New TriNetX Survey Reveals Biopharma’s Bold Embrace of Real-World Data and Artificial Intelligence—But Warns of Looming Barriers
Press Releases

Real-world data (RWD), artificial intelligence (AI), and patient-centric trial design lead pharma priorities in 2025, but data compatibility, regulatory hurdles, and security concerns threaten to stall momentum.

From Protocol Design to Execution: How Real-World Data Accelerates Clinical Trial Completion
Blogs

Clinical trials often falter at the final stretch—when it’s time to execute. It’s here that well-intentioned protocols meet real-world complexity, where timelines can slip, costs may surge, and outcomes could fall short of expectations.

What Pharma Leaders Really Think About AI, RWD & Inclusion
eBooks

This TriNetX exclusive survey report reveals how 150 senior pharmaceutical and biotech executives are leveraging artificial intelligence, real-world data (RWD), and diversity in clinical trials to drive innovation—while navigating persistent challenges.

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Blogs

In the high-stakes world of clinical research, innovation doesn’t just happen in the lab; it must cross the clinical trial finish line of regulatory submission. Yet for many sponsors, sites, and researchers, patient recruitment—or the “last mile”—remains a costly bottleneck where recruitment can lag, site enrollment can underperform, and promising treatments never receive approval.

Bridging the Last Mile of Clinical Trials
eBooks

The “last mile” of clinical research represents the crucial phase where protocols are put into action, and patient engagement becomes a reality. It’s about transforming well-laid plans into meaningful outcomes by efficiently connecting researchers, sites, and participants.

Building Breakthroughs: How Research-Ready Data Transforms Clinical Development
Webinars

The path to groundbreaking discoveries in clinical research starts with a single, vital element: trusted data.

Beyond ISPOR 2025: Shaping the Next Chapter of HEOR
Blogs

Fresh from the dynamic and idea-rich environment of ISPOR 2025, the premier global conference on health economics and outcomes research (HEOR), one message emerged loud and clear: innovation is rapidly reshaping the HEOR landscape, yet foundational challenges remain that require renewed attention and action. 

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Blogs

Clinical trials are being reinvented by real-world data (RWD). In 2025, data-driven strategies won’t just complement trial design—they’ll define it. From protocol optimization to accelerated site identification, data is the new compass guiding clinical innovation

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Blogs

The result? Higher costs, longer timelines, and compromised outcomes. The need to solve these critical challenges has never been more urgent.

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Blogs

With Robert F. Kennedy Jr. now at the helm of the Department of Health and Human Services (HHS), his recent speech to agency staff marked the beginning of what could be a seismic shift in U.S. healthcare policy. Among his key initiatives: launching investigations into whether antidepressants and the childhood vaccine schedule are contributing to chronic diseases. 

No More Data Silos: How TriNetX Uses Real-World Data to Pinpoint the Best Clinical Trial Sites
Blogs

Combining disparate data sources to inform clinical trial site selection has long been a complex challenge. Inconsistent site naming, differences in the definition of a site, and a lack of potential patient counts, among other obstacles, have made it difficult for sponsors to pinpoint optimal sites.  

Unlock the Power of Harmonized Global Real-World Data: 5 Reasons to Partner with TriNetX
Blogs

Real-world data (RWD) and the real-world evidence (RWE) derived from analysis of the data are a cornerstone of clinical advancements in today’s fast-paced research environment

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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