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 Cancer Center (SKCC) Tumor Registry. Furthermore, there are additional datasets accessible within the TriNetX Research Network, encompassing Jefferson University and other collaborating institutions.

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.

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 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 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.

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.