Tag Archive: Informatics

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 […]

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 […]

Informatics Study Recruitment


The ICTR Informatics Core provides multiple tools and services for study recruitment. These include: With prior IRB approval, investigators may use SlicerDicer to get an identifiable list of patients for whom they have provided care who meet the inclusion and exclusion criteria for their study. With IRB approval, the Core for Clinical Data Acquisition (CCDA) can provide investigators with a list of patients that meeting their study’s inclusion and exclusion criteria. SlicerDicer cannot be used if the investigator needs to recruit patients who they have not previously had a treating relationship or if the inclusion and exclusion criteria for their […]

Precision Medicine Analytics Platform (PMAP)


The mission of the Johns Hopkins Precision Medicine Analytics Platform is to “revolutionize the capacity of health centers to continuously improve their patient and population health outcomes at more affordable costs through modern data science and rigorous systems engineering practices.” The vision of PMAP is to: Accelerate biomedical discovery Accelerate translation of discovered knowledge to improve the delivery of patient-centered care Increase efficiency and effectiveness of clinical care and discovery Provide a platform for extending JHM excellence to expanded populations The PMAP platform, as seen in the following diagram, pulls data from the Epic Medical Record and other data sources […]

Informatics Grant Text


Investigators are encouraged to use the following text for their grants. If you need grant text for a topic not listed below, please contact Diana Gumas.

Feasibility Counts


The ICTR Informatics Core provides multiple resources that investigators can use to get feasibility counts for inclusion in grants and other study preparatory activities. Options for getting feasibility counts are: SlicerDicer – Investigators with access to Epic can use Epic’s SlicerDicer to get rough patient counts.  To find SlicerDicer in Epic, go to the Epic search bar and type in SlicerDicer. IRB approval is needed prior to using these data for recruitment or to conduct your research or publish.  Note that SlicerDicer has the following limitations: – not all data in Epic are available for searching in SlicerDicer (most notably […]

Informatics (ic2) Consultation Service


This is a new informatics consult service for researchers beginning January 2019.  Researchers preparing to submit a grant, preparing their IRB protocol or needing information and guidance regarding data, technology, and related cost and governance matters are encouraged to apply for this free consult service. During the pilot period, there will be one 90 minute informatics consult session each month with up to three study teams attending each session. The consultations will be attended by Dr. Christopher Chute, Diana Gumas, and other invited guests, as required, to address the specific questions being posed by the study teams. The dates for the […]

ICTR in the News: Electronic Health Records Need Organizing System


Abundance of Electronic Health Information Requires Organizing System to Make Best Use of Data The following article discusses the published work of ICTR Deputy Director of Informatics, Dr. Christopher Chute. Credit: iStock The rate at which electronic health data is accumulating is unprecedented, a Johns Hopkins health informatics expert notes in a review published Oct. 12 in the New England Journal of Medicine. To best make use of available information for personalized or precision medicine purposes, health organizations should consider using ontologies, a means of naming and organizing the information into categories for easier retrieval. Christopher G. Chute Credit: Johns […]

Research Data Collection and Storage (RDCS) Service


The Research Data Collection and Storage (RDCS) service assists researchers with secure solutions for data collection outside of Epic.  The most commonly provided service is REDCap.  Information about REDCap can be found here:  https://ictr.johnshopkins.edu/programs_resources/programs-resources/informatics/redcap/ RDCS can also assist investigators with other services including: Setting up and maintaining secure SQL Server databases which comply with Data Trust guidelines for clinical research registries. Migration of existing MS Access or Excel databases to more secure solutions. Secure non-REDCap questionnaire solutions, such as Qualtrics. Advice on database construction, design, and remote access. Specialized interfaces to collect data from research instruments For more information about […]