Networks in TriNetX
- Maryam Abdallah
Network | Approximate Patient Count | Sites Included |
|---|---|---|
University of Southern California | 1 Million Patients | 1 site |
Research Network | 141 Million Patients | 105 sites |
US Collaborative Network | 120 Million Patients | 69 sites |
Linked Network | 16 Million Patients | 24 sites |
COVID-19 Research Network | 124.4 Million Patients | 92 sites |
Global Collaborative Network | 165 Million Patients | 144 sites |
APAC Collaborative Network | 9 Million Patients | 22 sites |
EMEA Collaborative Network | 20 Million Patients | 27 sites |
LATAM Collaborative Network | 35 Million Patients | 36 sites |
Network Descriptions
US Collaborative Network
Includes data from all participating healthcare organizations within the United States.
Global Collaborative Network
Includes data from all participating healthcare organizations around the world.
EMEA Collaborative Network
Includes data from participating healthcare organizations in Europe, Middle East, and Africa (EMEA).
LATAM Collaborative Network
Includes data from participating healthcare organizations in Latin America.
APAC Collaborative Network
Includes data from participating healthcare organizations in the Asia-Pacific region.
COVID-19 Research Network
Launched on April 9, 2020, The COVID-19 Research Network empowers healthcare researchers to analyze cohorts of patients infected or likely infected with the Novel Coronavirus (SARS-CoV-2).
Linked Network
TriNetX Linked is an offering that lets researchers analyze more complete and more longitudinal patient data by integrating your electronic health records with data from medical claims, pharmacy claims, and mortality databases.
Data sourced from your EHR form the foundation of this combined data asset, providing a rich clinical picture of your patients from encounters with your providers. Medical and pharmacy claims, on the other hand, while providing limited clinical detail, can provide insight on a patient’s journey before and after these encounters, regardless of provider. Pre-existing co-morbidities, long-term outcomes, and retail pharmacy fills not discoverable in your EHR are part of the patient record in TriNetX Linked. Finally, if a deceased patient’s death is not reflected in your EHR, the mortality databases that contribute to TriNetX Linked may supply the date of death. Click here for more information (TriNetX login required).