Data Driven Platforms

Data Driven Platforms

IRB approval is needed to request granular/identifiable data. Please visit the IRB page for more information.

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All of Us

The All of Us Program, led by the National Institutes of Health (NIH), seeks to build an extensive and diverse health database reflecting the varied characteristics of the American population. Volunteers contribute valuable health information, including electronic health records, survey responses, physical metrics, and biological samples, while adhering to strict privacy measures. Researchers can benefit from accessing the registered or controlled tiers, enabling them to conduct broad population studies, analyze long-term disease trends, and more.

If you should have questions or need assistance acquiring access, please contact Melissa McCarey, Associate Director, JCRI.

Cosmos

Hosted by Epic, Cosmos is a web-based tool that seamlessly integrates billions of clinical data points to create a comprehensive, high-quality, and representative dataset. This dataset comprises information from over 210 million patients, spanning 8.4 billion encounters, and includes discrete data mapping for medications, lab results, vitals, and other relevant healthcare information.

To access Cosmos, you must be able to login to Jefferson's instance of Epic. If you don't have a login please request the clinical view only login template and complete the e-learning.

Qualtrics

Qualtrics is a dynamic online survey tool available to all Thomas Jefferson University and Jefferson Health employees, faculty, staff and students for Jefferson-related projects.

The Qualtrics Research Suite offers tools to build surveys that fulfill a variety of needs. With Qualtrics you can create web and mobile-friendly surveys and export data directly to SPSS, PDF, Word, Excel and PowerPoint.

REDCap

REDCap is a secure web platform for building and managing online databases and surveys. REDCap's streamlined process for rapidly creating and designing projects offers a vast array of tools that can be tailored to virtually any data collection strategy.

StudyTeam

StudyTeam is a platform available to all Thomas Jefferson University and Jefferson Health employees, faculty, staff, and students for IRB-approved projects. It streamlines prescreening activities for research studies. The platform will assist with documenting prescreening activities once you add in your inclusion and exclusion criteria. It can create a spreadsheet of all patient prescreening activities, thus minimizing the time it takes to document prescreening efforts. There is an institutional Terms of Service agreement executed and there is no cost to using StudyTeam for any and all trials within the TJU system.

If you should have questions or need assistance acquiring access, please contact Eileen O’Connor, Senior Site Adoption Associate for StudyTeam at eileen.oconnor@onestudyteam.com.

SlicerDicer

SlicerDicer is a versatile software application by Epic designed for the efficient and comprehensive exploration and analysis of complex healthcare and medical datasets. This powerful tool allows researchers to investigate a hunch and then refine their searches on the fly. In Hyperspace, users can examine trends, drill down to line-level details, and jump to related records to follow up.

To see populations (i.e. - total number of patients), an IRB is not required. However, researchers must have an IRB in order to view subject-level details and submit a request with all pertinent IRB documentation to the privacy team via the Jefferson Data Request Form in Service-Now.

Access the Data Request Form

TriNetX

TriNetX is a web-based research tool is available for generating de-identified cohorts and conducting downstream analysis. The data sources at Jefferson University encompass EPIC Electronic Medical Records (EMR) and the Sidney Kimmel Comprehensive Cancer Center (SKCCC) Tumor Registry. Furthermore, there are additional datasets accessible within the TriNetX Research Network, encompassing Jefferson University and other collaborating institutions.