TriNetX
兔子先生传媒文化作品 has paired with TriNetX, a global health research network that provides secure, de-identified electronic health record data for clinical research. Through TriNetX students, residents, faculty and staff can explore disease prevalence, identify patient cohorts, generate real-world evidence, and assess clinical outcomes across diverse healthcare populations. The platform offers an accessible introduction to clinical research methodology and data-driven investigation while supporting hypothesis generation, study feasibility assessments, and collaborative research under faculty mentorship. Access to TriNetX enables the development of foundational skills in clinical investigation and contributes to scholarly activities such as abstracts, posters, and peer-reviewed publications.
鈥淐reate an Account鈥� Button with all the following information in it.
- Log in to TriNetX
- Once presented with the login screen please enter your UTAD@rockets.utoledo.edu There is no password on this screen.
- Student access requires video training modules with a 70% competency required to pass.
- Students are also subject to a Contract Agreement 鈥� No TriNetX work may be presented or published without an approved faculty mentor(s).
- For technical assistance with logging in go to ithelp.utoledo.edu and file an IT help
ticket.
TriNetX WILL suspend individual or institutional access if it reasonably believes there is prohibited or improper activity, therefore:
- Do not share your username or password or account access with anyone. If credentials are lost or compromised, immediately change your password and notify IT and TriNetX; each user must personally assent to the TriNetX User Agreement.
- Do not disclose, sell, loan, provide services or grant access to any third party; use Data Sets only for the specific licensed study.
- Do not create external links to, frame, or mirror TriNetX content; do not disable any security controls.
- Keep all Data Sets secure and report any unauthorized access, disclosure, or suspicious activity promptly.
- Never try to re-identify patients, providers, or member institutions. Do not disable or work around obfuscation features.
- Do profile or re-identify individuals or institutions.
- Do not use the names of other healthcare organizations without their written permission.
- Do not copy, modify, reverse engineer, or redistribute the TriNetX Platform, Toolkit, or content.
- When publishing, follow accepted scientific standards and never include information
that could identify individuals or member institutions.
TriNetX Connect: Expanding Access to Clinical Trials
The Jacobson Center for Clinical and Translational Research (JCCTR) is pleased to offer聽TriNetX聽Connect, a clinical trial matching system that could enhance our institution's access to clinical trials.
TriNetX聽Connect links our institution to a global network of industry sponsors and contract research organizations seeking sites for upcoming clinical trials. Using de-identified electronic health record data, the platform matches trial protocols with sites where eligible patient populations already receive care. When a sponsor identifies a potential patient cohort at our institution,聽TriNetX聽Connect notifies us of the opportunity bringing new trials to our investigators and expanding treatment options for our patients.
The JCCTR serves as the institutional point of contact for聽TriNetX聽Connect. When a study opportunity aligns with our patient population, the JCCTR will reach out directly to relevant study teams and investigators with the potential opportunity.
Questions? Contact the JCCTR:
- Steven Haller 鈥� Steven.Haller@utoledo.edu
- Kaitlynn Grey 鈥� Kaitlynn.Grey@utoledo.edu
Required Reading
Olaker, V. R., Fry, S., Terebuh, P., Davis, P. B. et al. With big data comes big responsibility: Strategies for utilizing aggregated, standardized, de鈥恑dentified electronic health record data for research.聽Clin Trans Sci. 2025; 18(1): e70093.