Tag Archive: Informatics

Core for Clinical Research Data Acquisition (CCDA)


The Core for Clinical Research Data Acquisition (CCDA) assists researchers with accessing clinical data for research purposes. The CCDA is staffed with experienced data analysts who will assist you with access to data while also helping you comply with Data Trust privacy and security regulations. Contact Us Who is the CCDA? The Core for Clinical Research Data Acquisition (CCDA) is one of the 10 Data Trust analytic teams responsible for assisting researchers with accessing clinical data for research. Additionally, we are one of the clinical research informatics cores under the Institute for Clinical and Translational Research. What Services Are Provided? Preliminary, anonymous data […]

TriNetX Training Session January 28


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://trinetxjanuary2020.eventbrite.com Related Links: https://ictr.johnshopkins.edu/i2c https://www.trinetx.com/

TriNetX Training Session November 19


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://trinetxnovember2019.eventbrite.com Related Links: https://ictr.johnshopkins.edu/i2c https://www.trinetx.com/

TriNetX Training Session October 25


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://trinetxoctober2019.eventbrite.com Related Links: https://ictr.johnshopkins.edu/i2c https://www.trinetx.com/

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 Related Links: https://ictr.johnshopkins.edu/i2c 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 […]

CD2H Show and Tell Seminar


Please join us! Show and Tell Webinar Featuring the CD2H Idea Competition Semi-Finalists May 3, 2019 10-11:30 am Pacific / 1-2:30 pm Eastern Register This Show and Tell will showcase presentations from the semi-finalists from the CD2H Idea Competition. Predicting risk of retinopathy of prematurity (ROP) in premature infants using vital sign data and growth parameters, Columbia University Predicting respiratory illness following preterm birth to guide therapy choices and expectations, University of Rochester Analysis of brain tumor imaging for clinical trial development, Georgetown University Dynamic Stratification of Venous Thromboembolism Risk in Cancer Patients, UC Davis Automated Scoring of Radiographic Damage in Rheumatoid Arthritis, […]

Health Information Exchange Data Now Available to Johns Hopkins Researchers via the CRISP Research Initiative


Thursday, March 14th well over 100 faculty, staff members and students gathered to learn about the health information exchange database CRISP. The Chesapeake Regional Information System for our Patients (CRISP) is a non-profit health information exchange that serves Maryland, the District of Columbia, Virginia and West Virginia; and is designated as Maryland’s statewide health information exchange by the Maryland Health Care Commission. CRISP’s mission is to “enable and support the healthcare community of Maryland and our region to appropriately and securely share data in order to facilitate care, reduce costs and improve health outcomes.” Essentially, it electronically delivers the correct […]

ICTR Informatics Core (i2c)


The ICTR Informatics Core provides an integrated set of tools and services to help clinical researchers with their data needs.   COVID-19 Response: please note that during the COVID-19 outbreak, we will continue to respond to service requests within the normally stated 2 business days. COVID-19 requests will take precedence over other requests. Please email Bonnie Woods directly with any questions regarding our response time. Explore the links below to view frequently requested services or click the Contact Us button to get in touch with one of our staff.     Learn about the National COVID Cohort Collaborative (N3C) Data […]