Tag Archive: Informatics

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/

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


Researchers preparing to submit a grant or preparing their IRB protocol and 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 number Date of preferred informatics consult session IRB protocol number Study hypothesis and aims Questions you hope to have […]

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 […]

Data Extraction Overview


Clinical researchers often need data from Johns Hopkins data systems in order to conduct their study. The ICTR Informatics Core (i2c) is pleased to provide multiple services to assist researchers with their IRB-approved data needs. Most often, researchers are seeking data from the Epic medical record system. Epic is used at the Johns Hopkins Hospital, Johns Hopkins Bayview Medical Center, Howard County General, Sibley Memorial, Suburban Hospital, and Johns Hopkins Community Physicians. In addition to manual chart abstraction, researchers have a few different options for getting data from Epic: Use existing Epic reports, with the approval of the Epic Research […]

Data Trust


The Data Trust provides Johns Hopkins Medicine with the technical infrastructure, standards, policies and procedures, and organization needed to bring together patient and member-related data from across the health system to support our mission. The goals of the Data Trust are to: Ensure security and privacy of our patients’ data. Consolidate teams to address organizational priorities and reduce redundancy. Increase the value of data through better integration and analytics. Investigators may be referred for a Data Trust review if their study meets certain review triggers, such as the sending of identifiable patient data outside of Johns Hopkins or storing large amounts […]