Real-World Data for Clinical Research
Real-time access to clinical data from the largest global network of healthcare organizations
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 August 11, 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.
News
TriNetX Commences Chart Review of Hospitalized COVID-19 Patients to Generate Clinically-Enriched, Regulatory-Grade Dataset for Treatment & Vaccine Research
Engages Its Global Network of Healthcare Organizations to Support Retrospective EMR Studies
New Study Published in JCO Clinical Cancer Informatics Using TriNetX Real-World Data Finds Cancer Screenings Fell 89% During COVID-19
Article Warns of Future Impact from Lack of Proactive Cancer Care
TriNetX Signs Agreement with FDA Sentinel Program
FDA Staff Gain Rapid Clinical Insight Capability Leveraging the TriNetX Real-World Data and Analytics Platform
