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.
Patient counts, site details, and investigator history often live in separate places, forcing site selection teams to spend time reconciling data instead of making decisions. Learn how TriNetX Terrain, combined with SunshineMD’s database of more than 12,000 investigators, brings patient counts, site intelligence, and investigator experience into one connected view.
This retrospective study used TriNetX Dataworks-USA data to assess whether changes in routine liver biomarkers can predict clinical outcomes, such as cirrhosis and hepatic decompensation, in patients with primary sclerosing cholangitis.
TriNetX introduces NLP-extracted Facts from Clinical Notes: confidence-scored, validated against human-annotated notes, and linked to structured EHR data so researchers can trust notes-derived evidence.
Learn how connected real-world evidence, including genomic data and clinical notes, helps clinical operations teams test protocol feasibility and select sites based on confidence, not assumption.
Clin ops leaders often know their data foundation is limiting AI performance. Here’s a framework for making that case to the C-suite and tying it to the metrics executives track.
The evidence environment for inflammatory bowel disease has changed. Life Sciences teams are drawing on real-world data generated at a scale and resolution that trials were never designed to match.
Learn how TriNetX applies a shared, research-community framework to make real-world data research-ready. From source to study, quality you can verify.
When RWE findings fail under scrutiny, the conversation almost always turns first to data quality, but that is rarely where the real problem begins.
The next generation of clinical AI is here. Is your data foundation ready? As AI grows more proactive, gaps in data comprehensiveness, quality, recency, and transparency matter more.
Real-world data are already transforming healthcare research. Here’s what still has to change, from global access and data depth to genomics and AI.
For medical affairs and regulatory teams managing acne treatment portfolios, one prescribing question has stayed open for years: does isotretinoin increase the risk of inflammatory bowel disease?
Good real-world data research isn’t about the most complicated method or the largest cohort. Start with the question, understand your data, and design studies it can actually support.
Upcoming Webinar
From Protocol Draft to Confident Feasibility: Democratizing Study Design with AI
Tuesday, September 15 | 10am ET
Join TriNetX and Parexel to explore how AI and real-world data are transforming clinical feasibility workflows.
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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