TriNetX

TriNetX is a self-service web-based data exploration tool which helps clinical researchers to define a patient cohort using inclusion and exclusion criteria and to explore cohort attributes.

TriNetX is populated with data from Epic which have been cleaned, curated and more fully mapped to codes like LOINC to improve data quality and analysis. The date range of data in TriNetX is from July 2016 – present in order to reduce the problem of unexpected gaps in the data prior to the Johns Hopkins Medicine Epic enterprise go-live.

Some investigators may already be using Epic SlicerDicer to explore patient cohorts. While similar in concept, TriNetX and SlicerDicer have different strengths and weaknesses. The chart below can help you decide which would be the better tool for your study:

TriNetX SlicerDicer
Who can access? Any staff, faculty member, or student with the JHED ID and password Anyone with an Epic Hyperspace account with reporting privileges
Date range of the data July 1, 2016 to present April 2013 to present, with some legacy data prior to 2013
Frequency of Update Quarterly Nightly
Quality of Data Better than what is collected in Epic As collected in Epic
Types of Data Demographics, Diagnoses, Procedures, Medications, Labs, Visits Wider variety of data, including Family History, Providers, Epic Registries, Research Studies, Risk/Care Scores, Social History, etc.
Analysis Tools Number of patients in a cohort. Exploration of that cohort’s demographics, co-morbidities, procedures, medications, and labs. Clinical phenotype criteria analysis. Rate of arrival prediction. Number of patients in a cohort trended over time and/or stratified by subcohorts
Ability to Access identifiable data Yes, with assistance from the Core for Clinical Research Data Acquisition (CCDA) Physicians may access identifiable data for patients they have treated. Otherwise, help is needed from the Core for Clinical Research Data Acquisition (CCDA)
Online design assistance Yes No

 

TriNetX is populated with data from Epic which have been cleaned, curated and more fully mapped to codes like LOINC to improve data quality and analysis. The date range of data in TriNetX is from July 2016 – present in order to reduce the problem of unexpected gaps in the data prior to the Johns Hopkins Medicine Epic enterprise go-live.

Some investigators may already be using Epic SlicerDicer to explore patient cohorts. While similar in concept, TriNetX and SlicerDicer have different strengths and weaknesses. The chart below can help you decide which would be the better tool for your study:

Interested in using TriNetX? To get a TriNetX account, sign up for an upcoming 1 hour training class.

November 19, 2019
Noon- 1:00 pm
Zayed 2069
Register

January 28, 2020
Noon- 1:00 pm
Zayed 2069
Register

For additional information about TriNetX, visit: https://trinetx.com/