The ICTR Informatics Core is piloting a new informatics consult service for researchers starting 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. During the pilot period we will hold one 90 minute informatics consult session each month with up to three study teams attending each informatics consult session. The informatics consult sessions will be attended by Dr. Christopher Chute, Diana Gumas, and invited guests as required to address the … Continue reading →

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 … Continue reading →

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 … Continue reading →

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 … Continue reading →

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.