Tag Archive: Informatics

Socio-behavioral determinants of health (SBDH) Data Catalog

Socio-behavioral determinants of health (SBDH) – a combination of behavioral, social, economic, environmental, and occupational factors – are powerful drivers of morbidity, mortality, and future well-being of individuals and communities, yet they mostly lie outside domain of the conventional medical care delivery system. Modifiable behaviors and exposures that occur in the community play a significant role in 60% of preventable deaths in the U.S.1 Project Executive Summary In 2017, the Institute for Clinical and Translational Research’s (ICTR) Behavioral, Social and Systems Science (BSSS) Translational Research Community (TRC) advisory board funded this project to examine the availability of social and behavioral […]

OpenSpecimen Tracking

OpenSpecimen is a Biospecimen Information Management System that is a scalable solution for a biorepository which meets the needs of a broad group of investigators and biobanks.  At Johns Hopkins, OpenSpecimen is currently used in multiple departments, including several Precision Medicine Centers of Excellence (PMCOE). What We Offer: Annotation of research and clinical data Specimen Information Interfaced with Precision Medicine Query capability Specimen and Derivative Tracking Specimen Event Tracking Epic Patient Lookup-Enabled Bulk Load Capability for Legacy Data Security (Enterprise Servers/JHED Login) Open Source with strong user community Extensible Architecture for Future Interfaces Considered a “Tier A” best practice for […]

Protection of Patient Data

Johns Hopkins has multiple IT policies regarding the protection of patient data. Diana Gumas, Senior Director for Clinical Research Information Technology, is responsible for working with the Johns Hopkins Medicine Data Trust, the Institutional Review Boards, and the clinical research community to facilitate compliance with policies and address and resolve special data protection needs. The goals of our data protection policies are to ensure compliance with all applicable federal, state, and local law; to safeguard and protect all IT Resources from anything other than authorized and intended use; and to provide protection to academic, clinical, financial, research, and all other […]

Research Electronic Data Capture (REDCap)

Research Electronic Data Capture (REDCap) is a mature, secure web application for building and managing online surveys and databases.   Using REDCap’s stream-lined process for rapidly developing projects, you may create and design projects using the online method from your web browser using the Online Designer and/or the offline method by constructing a ‘data dictionary’ template file in Microsoft Excel, which can be later uploaded into REDCap. Both surveys and databases (or a mixture of the two) can be built using these methods. REDCap Provides: automated export procedures for seamless data downloads to Excel and common statistical packages (SPSS, SAS, […]

Qualtrics Survey

Qualtrics is the world’s leading enterprise survey company, used by 1,300 colleges and universities worldwide, including every major university in the United States. Qualtrics makes it easy to create and distribute engaging surveys. It is FREE for use by all School of Medicine faculty, students and staff for research, evaluations, event registration and more. Surveys can be created and distributed by anyone with a current university login. In order to protect sensitive data, please use Qualtrics instead of Survey Monkey for your surveys. Beyond regular surveys, Qualtrics provides a rich set of features, including the ability to support: Sharing survey design and […]

SAFE Desktop

Request a SAFE Desktop or Access to an Existing SAFE Folder SAFE, the Secure Analytic Framework Environment (formerly called the Secure Data Desktop/SDD), is a virtual desktop that provides Johns Hopkins Medicine investigators (whether engaged in research or other data-intensive activities) with a secure environment to analyze and share sensitive data (e.g. PHI, PII) with colleagues. Top Features Software: the SAFE is installed with productivity software such as Microsoft Word and Excel, as well as statistical software, including SAS, Stata, R, R Studio, and Python. Other software applications can be installed for investigators willing to cover the licensing fees. Data […]

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. 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 for feasibility, […]

Epic Star Data Warehouse

The Star Data Warehouse is an analytical healthcare database that brings together Epic and non-Epic data, such as patient satisfaction information, in one simplified reporting database to vastly improve query ease and efficiency of data extraction for a key subset of data in Epic. To learn more about the Star Data Warehouse implementation at Johns Hopkins Medicine, please visit the the JHM SDW website. Please note, this is an internal website, visible only on the Hopkins network. Benefits Epic and non-Epic data in one place. Information from outside of Epic next to Epic data can be used to create reports […]

Clinical Research Management System (CRMS)

CRMS is a web-based tool designed to organize and streamline clinical research management designed to improve communication among study team members.  CRMS has the following main features: Protocol information from eIRB2 Registry of study participants Management of study accruals Consent tracking Secure location for study-related documents Pre-configured and adhoc reports Multiple interfaces with Epic, including sending data to Epic about the study and the study participants CRMS must be used by studies which could result in a patient bill. It may also be used by retrospective studies to define the study cohort in order to facilitate data extraction from Epic […]

Computational Genomics Consulting and Education

The multidisciplinary Johns Hopkins Center for Computational Genomics was established by the Provost office in 2008 and integrates the work of basic scientists (biologists and clinicians), statisticians, and computer scientists. Initiatives include: Annual Practical Genomics: From Biology to Biostatistics Workshop Annual Young Investigators Symposium on Genomics and Bioinformatics Focused Workshops University Courses Data analysis and sequencing through the Next Generation Sequencing Core and the Division of Biostatistics For more information, visit: http://www.genomics.jhu.edu The Computational Biology Consulting Core (CBCC) is led by Liliana Florea with Steven Salzberg within the University’s Center for Computational Biology founded by Salzberg. The Core’s mission is […]