LIVE Regional Networks
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Our web-based platform, TriNetX Live, puts you at the center of our real-world data and evidence ecosystem. With an interface that’s as powerful as it is easy to use, you can build and analyze cohorts drawn from around the world in just minutes. When you’re ready to invite these patients into a study, connect with their healthcare providers with a few clicks.
LIVE Regional Networks
Global
Spanning 18 countries in the Americas, EMEA, and APAC, our largest federated network harmonizes data from EHR enriched with lab values and genomic reports. Most contributing healthcare organizations refresh their data monthly.
Patients
>180M
Healthcare Organizations
>140
Countries
18 (Australia, Belgium, Brazil, Bulgaria, Estonia, Georgia, Germany, Israel, Italy, Lithuania, Malaysia, Poland, Singapore, Spain, Taiwan, UAE, UK, US)
Supported Features
Advanced Analytics
TriNetX Connect
USA
iExplore the freshest data on patients across the United States. Find the exact cohort you’re looking for among pediatric and adult populations in all nine US census divisions, from academic medical centers and community hospitals.
Patients
>140M
Healthcare Organizations
>75
US Census Divisions
9 of 9
Supported Features
Advanced Analytics
TriNetX Connect
USA & Asia-Pacific Spotlight
Broaden your reach with patient data sourced from renowned institutions in Australia, India, Malaysia, and Taiwan.
Patients
>143M
Healthcare Organizations
>80
Countries
5 (Australia, Malaysia, Singapore, Taiwan, US)
Supported Features
Advanced Analytics
TriNetX Connect
Latin America
Our Latin America Network represents the majority of all healthcare seekers in Brazil, enabling powerful population-level research.
Patients
>175M
Healthcare Organizations
10
Data Partners
1
Countries
1 (Brazil)
Argentina, Chile, Colombia, and Mexico coming to the network soon
Supported Features
Advanced Analytics
TriNetX Connect
Data Set Download
EMEA
The quickest flights to Europe and the Middle East. Build and explore your cohort from encounter, diagnosis, medication, and procedure codes, all mapped to common terminologies like ICD-10-CM and LOINC.
Patients
>34M
Healthcare Organizations
>50
Countries
12 (Belgium, Bulgaria, Estonia, Georgia, Germany, Israel, Italy, Lithuania, Poland, Spain, UAE, UK)
Supported Features
Advanced Analytics
TriNetX Connect
Japan Claims
Optimize your trials for the world’s third largest pharmaceutical market with on-demand DPC (“Diagnosis Procedure Combination”) data, the basis for Japan’s national medical service reimbursement system for acute inpatient care.
Patients
>39M
Healthcare Organizations
>460 acute care hospitals, including >200 cancer care centers
Countries
1 (Japan)
Supported Features
Advanced Analytics
South Korea
Patients
9M
Healthcare Organizations
27
Countries
1 (South Korea)
Supported Features
Counts and analysis delivered report
Core Network Features
Query Builder
Define a cohort as precise and unique as your hypothesis. Query Builder lets you specify diagnoses, procedures, lab values, and more, standing in the temporal and logical relations you want.
Explore Cohort
Instantly uncover a wealth of detail about your patients of interest, from the prevalence of medications prescribed to mean lab values.
Advanced Analytics
Analyze and compare outcomes, reveal treatment pathways, and more with statistically robust tools. Generate tables and graphs for presentation outside of our platform.
TriNetX Connect
Invite the healthcare organizations who provide our data to participate in your study. If your cohort includes patients drawn from their institution, they can re-identify them.
Introducing Diversity Lens
Better treatment for all starts with more inclusive trials.
Are your study criteria disqualifying one patient group more than another? By examining the impact of each criterion across demographic profiles, you can better ensure diverse enrollment from the start. That means more generalizable results, more opportunity for patients and providers, and more equity in the future of care.
See how we’re helping study designers turn their inclusion criteria into inclusive criteria with diversity lens.