Real-World Data for Clinical Research
Real-time access to clinical data from the largest global network of healthcare organizations
Webinar Event
Leveraging A Medical Record-Enriched Patient Dataset for COVID-19 Research
Thursday, November 12, 2020
2pm ET / 11am PT
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 30 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 October 27, 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 Achieves Re-Certification to ISO/IEC 27001:2013 Information Security Standard
TriNetX, the global health research network that revolutionizes clinical research and enables discoveries through the generation of real-world evidence (RWE), has announced that it has successfully renewed its certification to the rigorous ISO/IEC 27001:2013 Information Security Standard.
Carlyle Makes Strategic Growth Investment in TriNetX; Acquires Majority Stake in Leading Global Health Research Network
Investment Will Accelerate Development of New Clinical Research Capabilities for Healthcare Organizations and Life Sciences Customers, With the Aim of Capitalizing on Both Organic and Inorganic Growth Opportunities
TriNetX Receives Fierce Innovation Award – Life Sciences Edition 2020
TriNetX Platform for Protocol Design and Feasibility a Winner in the Data Analytics/Business Intelligence Category
TriNetX has successfully renewed our certification to the ISO/IEC 27001:2013 Information Security Standard. Our #Ghent, #Belgium office also passed the full audit; expanding the scope of the certification. https://bit.ly/3mrNTdQ #informationsecurity
Honored to have our CEO, @gadi_lachman, recognized among so many inspiring leaders in the Entrepreneur Of The Year® 2020 New England program as an award winner! @EY_US https://go.ey.com/33E6s83 #EOYNE
⭐️Congratulations #EOYNE entrepreneurs and true drivers of growth from New England! We celebrate and thank you! #EOYUS
New study by @uihealthcare finds #Parkinson's patients face higher risk of dying from #coronavirus.
#covid19 #parkinsonsdisease #RWE #RWD #EMR
People with Parkinson's disease have a higher risk of dying from COVID-19
A new database analysis of approximately 80,000 patients shows that people with Parkinson's disease (PD) have a 30 percent higher death rate from COVI...
bit.ly
Notes from last week's mtg, including a presentation by #TriNetX SVP, Jennifer Stacey, on large scale data visualization for rapid insights & #RWE generation
Last week’s #COVID19 #EvidenceAccelerator Lab Meeting consisted of an engaging presentation on observational data and casual inference from @_MiguelHernan at @HarvardEpi. More on that and the two discussions on collection and uses of #RWD amid COVID-19: http://bit.ly/3j6K7Fj
Events
Leveraging A Medical Record-Enriched Patient Dataset for COVID-19 Research
Thursday, November 12, 2020
2pm ET / 11am PT