Tag Archive: Informatics

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)


Informatics Consult


The ICTR Informatics Core (i2c) piloted a new informatics consult service for researchers in January 2019. Researchers who are preparing to submit a grant or preparing their IRB protocol and who need information and guidance regarding data, technology, and related cost and governance matters are encouraged to apply for this free consult service. We offer 90 minute sessions attended by Dr. Christopher Chute, Diana Gumas, and invited guests (as required) to address the specific questions being posed by the study teams. To apply for an informatics consult, please click on this application link. The form requires: Name Email address Phone […]

Informatics Letters of Support


If you need a letter of support from the ICTR Informatics Core, please contact Diana Gumas or Christopher Chute so that we can better understand your proposed study, and provide you with a signed letter of support on official letterhead.  

Natural Language Processing (NLP)


Natural Language Processing (NLP) is a programming technique to find and extract data of interest from text documents. NLP can sometimes involve a simple search for known text strings but is often more complex due to the ways that human beings use language. For example, the concept of smoking could be expressed in many different ways in a text document, such as “has never smoked”, “used to smoke 3 packs a day”, “recently quit smoking”, “is in a smoking cessation program”. The Center for Clinical NLP, with faculty and staff from the Johns Hopkins School of Medicine, the Johns Hopkins […]