External Control Arms
Build smarter control groups with fit-for-purpose real-world patient cohorts.
Shorter timelines. Stronger evidence.
Based on a proven methodology built upon 30+ years of experience, TriNetX external control arms (ECAs) help you with timely, representative, granular, and fit-for-purpose control groups.
Designed for studies where randomized controls are impractical, our experts will guide you through set-up, regulations, and execution as we use real-world patient data in lieu of additional patient recruitment, reducing costs and timelines while generating robust, regulation-ready evidence to support your trial.
Navigate regulatory uncertainty with confidence
Strengthen your HTA and EMA submissions with representative, fit-for-purpose ECAs designed for regulatory readiness.
Our methodology ensures scientifically sound data and processes, delivering evidence that regulators can trust and increasing your chances of a successful submission.
Overcome data and implementation challenges
TriNetX ECAs maintain the integrity of your analyses and results while helping you gain deeper insights into treatment impact. You can even generate supplementary control information for prospective experimental arms.
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Explore our insights
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.
Electronic health record RWD sources may be a more viable approach to monitoring
medication use during pregnancy. We estimate exposure to novel therapeutics during pregnancy in a large EHR research network.
Infectious disease research spanning stakeholders and purposes can benefit from the inclusion of real-world data (RWD). The fit for RWD in
studying specific ID research components is not well-established beyond study-specific assessment.
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