TriNetX
University of Utah Researchers can now access Electronic Medical Record (EMR) from all over United States through TriNetX Research Networks.
TriNetX datasets provide access to de-identified patient data from the networks of healthcare organizations (HCO) and other data providers.
What is TriNetX?
TriNetX is a web-based data interface tool which helps researchers design patient cohorts using inclusion and exclusion criteria and to explore population attributes.
TriNetX datasets are comprised of clinical patient data such as demographics, diagnoses, procedures, labs, and medications collected from electronic medical record (EMR) stored in Epic systems and collected for the primary purpose of providing care to patients.
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TriNetX datasets are comprised of clinical patient data such as demographics, diagnoses, procedures, labs, and medications.
The data in TriNetX datasets are:
- Primarily from healthcare organizations (HCOs) electronic medical record (EMR) systems
- Collected for the primary purpose of providing care to patients
Data Format and Structure: A dataset comprises 18 comma-separated value (CSV) files, including a terminology table and manifest table, which you’ll download from the TriNetX platform in a single compressed folder. Each file is a machine- and human-readable data table you can import into your preferred application.
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Data in TriNetX datasets comes from HCOs and other data providers. The data these entities provide primarily comes from:
- EMR systems
- Structured data includes diagnoses, medication orders, procedures, or clinical events tied to a specific date; demographic attributes like race or sex; lab results such as genetic variants and tumor size and staging
- Unstructured data processed by Natural Language Processing (NLP) technology
- Cancer registries
- Other sources (e.g., genomic data from third party genomic testing labs)
- EMR systems
Accessing TriNetX Data
Researchers at the University of Utah can request for TriNetX account by completing the form below.
Before registration, the following resources will help familiarize you with TriNetX:
After registration, Researchers can access additional training modules via the TriNetX platform.
Why Use TriNetX?
Protocol Design and Feasibility
Determine if a sufficient population matches a protocol. Investigate attributes and comorbidities of a cohort. Analyze inclusion/exclusion criteria and the impact of changes.
Site Selection for Patient Recruitment
Locate study sites based upon the availability of eligible patients matching a protocol. Predict the arrival rate of newly eligible patients and engage the right contact within the clinical trials office at study sites.
Generation of Real-World Evidence
Explore and compare cohorts. Compare outcomes of interest. Characterize drug efficacy and burden of illness.
Collaboration with Peers
Participate in multi-site research across organizations. Pursue grant-based research funding. Strengthen relationships between healthcare organizations and sponsors.