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.
Even when the data foundation is right, even when the AI is producing high-quality insights, why are so many clinical operations teams not seeing the productivity gains the technology promised?
Jeff Brown spent last week in Milan at the ISPE Annual Meeting, where pharmacoepidemiology researchers, regulators, and industry experts gathered around a shared ambition: unlocking the power of data and pharmacoepidemiology to improve patient health.
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.
This study compares the performance of a classic ML model and a LLM in deriving breast cancer stage from structured EHR data.
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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Take the Real-World Impact Assessment. Answer a few questions to see how TriNetX can drive impact across your clinical and commercial goals.
