Tag Archive: TriNetX

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. … Continue reading

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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. … Continue reading

TriNetX Training Session September 27


Speakers Jim Potter and Sumati Murli will instruct attendees on how to use TriNetX, a new self-service tool which allows investigators to explore data from Epic. All attendees with a valid JHED ID will be provisioned with a TriNetX account. The service is offered at no cost to the Johns Hopkins community. Attendees will learn: The data available and how to query patient cohorts in TriNetX How to explore cohort demographics and estimated rates of arrival, and The benefit to incorporating TriNetX into their studies.   For additional information contact Diana Gumas at dgumas1@jhu.edu. Register: https://trinetxseptember2019.eventbrite.com Learn More: https://ictr.johnshopkins.edu/trinetx https://www.trinetx.com/

TriNetX Training Session August 27


Speakers Jim Potter and Sumati Murli will instruct attendees on how to use TriNetX, a new self-service tool which allows investigators to explore data from Epic. All attendees with a valid JHED ID will be provisioned with a TriNetX account. The service is offered at no cost to the Johns Hopkins community. Attendees will learn: The data available and how to query patient cohorts in TriNetX How to explore cohort demographics and estimated rates of arrival, and The benefit to incorporating TriNetX into their studies.   For additional information contact Diana Gumas at dgumas1@jhu.edu. Register: https://trinetxaugust2019.eventbrite.com Related Links: https://ictr.johnshopkins.edu/i2c https://www.trinetx.com/

TriNetX Training Session July 26


Speakers Jim Potter and Sumati Murli will instruct attendees on how to use TriNetX, a new self-service tool which allows investigators to explore data from Epic. All attendees with a valid JHED ID will be provisioned with a TriNetX account. The service is offered at no cost to the Johns Hopkins community. Attendees will learn: The data available and how to query patient cohorts in TriNetX How to explore cohort demographics and estimated rates of arrival, and The benefit to incorporating TriNetX into their studies.   For additional information contact Diana Gumas at dgumas1@jhu.edu. Register: https://trinetxjuly2019.eventbrite.com Related Links: https://ictr.johnshopkins.edu/i2c https://www.trinetx.com/

TriNetX Training Session June 28


  Registration is closed. Please sign up for our July 27th or August 27th training session. Speakers Jim Potter and Sumati Murli will instruct attendees on how to use TriNetX, a new self-service tool which allows investigators to explore data from Epic.  All attendees with a valid JHED ID will be provisioned with a TriNetX account. The service is offered at no cost to the Johns Hopkins community. Attendees will learn: The data available and how to query patient cohorts in TriNetX How to explore cohort demographics and estimated rates of arrival, and The benefit to incorporating TriNetX into their … Continue reading