TriNetX is a revolutionary platform that unlocks the power of clinical data for researchers, clinicians, and healthcare professionals worldwide. As a comprehensive clinical database, TriNetX aggregates de-identified patient information from electronic health records across the nation and around the globe. With its dynamic and regularly updated data, TriNetX offers a unique opportunity to access insights from more than 250 million patients spanning over 120 healthcare organizations across 19 countries.
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Empowering Research at Your Fingertips
We are excited to announce that DUCoM has now partnered with TriNetX and has joined this vast, worldwide research infrastructure, providing you with an unprecedented resource to drive your clinical research endeavors. Whether you're a seasoned researcher or just starting your journey, TriNetX is well-equipped to support and enhance your research project.
TriNetX Training and Access
Drexel faculty mentor is required for all medical students prior to obtaining access to TriNetX.
Drexel medical students must register and gain access to TriNetX through the Office of Student Affairs, Career Advising website: OSACA: Office of Student Affairs and Career Advising (drexel.edu). Once on the “How to Find Research” webcampus page, click on “2. TriNetX.”
Login to TriNetX Training Registration
- Register for Training: TriNetX Training Registration
- You will receive an email confirming your enrollment
- Accessing Training:
- Training Requirements:
- Review training video
- Review TriNetX SOPs
- Take TriNetX overview competency quiz; score ≥80% to pass
- After successful completion, email training certificate to your Drexel TriNetX Admin
- Upon successful completion of the training, email your training certificate to the Drexel TriNetX Admin email below. Certificates can be found within the TriNetX Training course on Blackboard under the tab that reads “Achievements.” Click on the Achievements tab and you will see your earned certificate. Send to your Trinetx Admin to grant you access.
- Data Set Requests
Faculty and staff may contact:
Drexel TriNetX Administrator
Janet Matthews, MSN, RN – firstname.lastname@example.org
Medical students may contact:
Medical Student Drexel TriNetX Administrator – TriNetXMedStudent@drexel.edu
Medical Student Research
Karen Berkowitz, MD – email@example.com
For TriNetX support, please contact:
Andreia McKenzie – firstname.lastname@example.org
You should expect a reply within 48 hours.
TriNetX Training Center
Take advantage of tailored training resources within the application. Learn how to navigate the interface, utilize search functionalities, and extract meaningful insights from the dataset. Workshops and webinars that guide you visually through TriNetX features are available through the TriNetX Training Center.
TriNetX Publication Guidelines
A research team may publish any findings based upon the data set(s). If the research team publishes findings based upon the use of the data set(s), the research team will publish such findings according to accepted scientific standards and TriNetX publication guidelines.
Learn more about TriNetX publication guidelines, including:
- introduction to publication guidelines
- network to be used
- use of the appropriate network
- information not to disclose
- citing TriNetX
Apply a Data-Driven Approach to Clinical Research FAQs
Who can use TriNetX?
TriNetX is designed for researchers, healthcare professionals, and organizations involved in clinical research, epidemiology, and healthcare analytics. It's suitable for both academic and industry researchers.
How does TriNetX work?
TriNetX connects healthcare organizations, allowing them to share their de-identified patient data on a secure platform. Researchers can then query and analyze this data to gain insights into patient populations, disease trends, treatment outcomes and more.
Is patient data on TriNetX de-identified and secure?
Yes, patient data shared on TriNetX is de-identified to ensure patient privacy and compliance with regulations like HIPAA. The platform employs robust security measures to protect data integrity and prevent unauthorized access.
How do I discover cohorts?
Discover eligible patients by adding terms for your inclusion and exclusion criteria. Pursue a grant or identify the patients for recruitment.
How do I apply analytics to replicate trials and develop protocols?
Analyze risk factors, compare treatments, and get to know the current therapy landscape for your disease of interest. Obtain a risk ratio and Kaplan-Meier analysis in minutes — without statistical software.
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