CAMBRIDGE, Mass., May 24, 2017 – Virginia Commonwealth University (VCU) has joined the TriNetX health research network, which is comprised of healthcare organizations representing over 84 million patients globally, biopharmaceutical companies and contract research organizations (CROs) who are working together to improve protocol design, site selection, patient recruitment, and collaborative research across a range of therapeutic areas and development stages.  As a member, VCU will leverage the network to support cohort discovery, facilitate cross-institutional research collaborations and increase industry-funded clinical trial opportunities for the health system.

“We see membership on the TriNetX network as an opportunity to help facilitate an increase in clinical trials from biopharma and CROs, as well as remove some of the barriers associated with investigator-initiated multi-site collaborative research,” said Tim Aro, Manager of Clinical Research Informatics at Virginia Commonwealth University’s C. Kenneth and Diane Wright Center for Clinical and Translational Research.

Utilizing TriNetX’s cloud-based, health research platform, members can analyze patient populations with search criteria across multiple longitudinal data points, and TriNetX’s advanced analytics modules provide intelligence on which criteria have the most impact as well as the rate at which new patients present. Each data point in the TriNetX network can be traced to healthcare organizations who have the ability to identify individual patients, allowing clinical researchers to develop virtual patient cohorts that can be found in real-world clinical trial settings. Patients can be discovered for industry-sponsored and investigator-initiated studies, as well as for collaboration with peer research institutions. Data in the TriNetX network is fully de-identified to the user.

“To help support VCU’s strategic initiatives around cohort discovery and advances in precision medicine, we needed a searchable and extensible local data structure that included oncology and genomic data,” said Aro.  “We now have the capability to do cohort discovery of complementary patient populations within the TriNetX network to obtain adequate representation across the demographic spectrum, elucidation of rare disease populations and other challenging cohorts such as those with extensive inclusion/exclusion criteria.”

About Virginia Commonwealth University

Virginia Commonwealth University is a major, urban public research university with national and international rankings in sponsored research. Located in downtown Richmond, VCU enrolls more than 31,000 students in 225 degree and certificate programs in the arts, sciences and humanities. Seventy-nine of the programs are unique in Virginia, many of them crossing the disciplines of VCU’s 13 schools and one college. VCU Health represents the VCU Health System, which comprises five health sciences schools (Allied Health Professions, Dentistry, Medicine, Nursing, Pharmacy), VCU Medical Center (the only academic medical center and Level I trauma center in the region), Community Memorial Hospital, Children’s Hospital of Richmond at VCU, VCU Massey Cancer Center and Virginia Premier. For more, please visit www.vcu.edu and vcuhealth.org.

About TriNetX

TriNetX is the global health research network enabling healthcare organizations, biopharma and contract research organizations (CROs) to collaborate, enhance trial design, accelerate recruitment and bring new therapies to market faster. Each member of our community shares in the consolidated value of our global, federated health research network that connects clinical researchers in real-time to the patient populations which they are attempting to study. For more information, visit http://www.trinetx.com.

Media Contacts:

TriNetX: Jennifer Haas
[email protected]
978-697-3921
VCU: Tim Aro
[email protected]
804-628-4795

 Want to find out more?

Click here for Frequently Asked Questions (FAQ): Handout – TriNetX Overview v3

Categories Clinical Research, Clinical Trials, Collaboration, Data Science, Research
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