Real-World Data for Clinical Research

Real-time access to clinical data from the largest global network of healthcare organizations

Real-World Data for Clinical Research

Real-time access to clinical data from the largest global network of healthcare organizations

Reduce Protocol Amendments

Apply a data-driven approach to your clinical trial design and feasibility process

Accelerate Patient Recruitment

Identify and fast track engagement with sites who have cohorts that meet trial criteria

Latest News

TriNetX readies its real-world data platform and global network of healthcare organizations to support COVID-19 clinical research

TriNetX is the global health research network that connects the world of drug discovery and development from pharmaceutical company to study site, and investigator to patient by sharing real-world data to make clinical and observational research easier and more efficient.

Optimize Clinical Research

Generate Real-World Evidence

Collaborate on Clinical Trials

Longitudinal Real-World Data

Real-time access to patient populations, driven and refreshed by electronic medical record (EMR) data, to determine protocol feasibility, cohort analysis, site identification and the generation of real-world evidence to support regulatory submissions.

Data Linking

Demographics

Diagnoses

Genomics

Lab Results

Longitudinal Patient History

Medications

Mortality

Oncology

Patient Location

Procedures

Provider Notes (NLP)

Tumor Registry

Vitals

Highly Intuitive Analytics

Quickly gain real-world insights into how patients are treated and their outcomes or conduct full-protocol driven observational research studies in a fraction of the usual time.

Global and Diverse Healthcare Research Network

Conduct region-specific studies compliant with local privacy regulations in over 25 countries.

Clinical Data for COVID-19 Research

Counts of possible COVID-19 patients based on a combination of ICD-10 diagnostic terms and confirmatory laboratory results occurring on or after January 20, 2020, as of July 6, 2020.

Better understand the risk factors, comorbidities and outcomes of COVID-19 patients

Recent Scientific Publications

Singh S, Khan A, Chowdhry M, Bilal M, Kochhar GS, Clarke K, Risk of Severe COVID-19 in Patients with Inflammatory Bowel Disease in United States. A Multicenter Research Network Study., Gastroenterology (2020), doi: https://doi.org/10.1053/j.gastro.2020.06.003.

Turk M, Landes S, Formica M, Goss K, Intellectual and developmental disability and COVID-19 case fatality trends: TriNetX analysis., Disability and Health Journal (2020), doi: https://doi.org/10.1016/j.dhjo.2020.100942.

Open Source from TriNetX

TriNetX believes in community involvement and the democratization of software tools. Open.TriNetX is our open source contribution to empowering the global research community. Our OPS to SNOMED CT Mapping solution is the beginning of what we plan to be a growing library of open source content, tools, and solutions.

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