Unlocking the Power of Retrospective Research: VCU’s Guide to TriNetX, Cosmos, and EPIC
Retrospective research is a cornerstone of advancing medical knowledge, allowing researchers to draw valuable insights from existing data. However, accessing and utilizing this data can be a daunting task, particularly when navigating complex systems like TriNetX, Cosmos, and EPIC. A recent Research Town Hall at VCU, titled “How do I get the data needed for my retrospective research project? Use of TriNetX, Cosmos, and Epic,” provided an in-depth look at these powerful tools and how they can be harnessed to drive impactful research.
Understanding Your Data Sources: TriNetX, Cosmos, and Epic
The presentation opened with an exploration of TriNetX, a federated clinical data research network that aggregates electronic medical records (EMR) from dozens of health systems. For researchers at VCU, TriNetX offers a treasure trove of data, including demographics, diagnoses, procedures, medications, and more. One of the key advantages of TriNetX is its ability to allow users to conduct self-run queries, making it an invaluable tool for cohort discovery, trial feasibility, and epidemiological research.
Cosmos, another tool highlighted in the presentation, is integrated with Epic and provides a vast repository of de-identified, longitudinal patient data. Cosmos stands out for its ability to support large-scale data analysis, making it particularly useful for research involving rare conditions or complex combinations of covariates. The tool’s built-in analytics and privacy protections ensure that researchers can work with high-quality data while adhering to stringent ethical standards.
EPIC, a comprehensive electronic health record (EHR) system, rounds out the trio of tools discussed. Epic offers both identified and de-identified data, with access facilitated by VCU’s Wright Center. The presentation emphasized the role of an honest broker in this process, ensuring that data is handled in compliance with HIPAA regulations and other legal requirements.
Navigating the Challenges of Identified vs. De-identified Data
A critical aspect of retrospective research is understanding the difference between identified and de-identified data. The presentation provided a clear explanation of these concepts, noting that de-identified data must have 18 specific identifiers removed to comply with HIPAA standards. This process is essential for protecting patient privacy while enabling researchers to draw meaningful conclusions from the data.
For those needing identified data, the presentation outlined the necessary steps, including obtaining IRB approval and consulting with the Wright Center. TriNetX allows for cohort discovery with identified data, but the final dataset can only be provided after meeting these regulatory requirements. Similarly, Epic offers detailed data extraction, but again, this is contingent on compliance with the necessary legal and ethical guidelines.
Real-World Applications and Resources
To illustrate the practical applications of these tools, the presentation showcased several real-world examples of studies conducted using TriNetX and Cosmos. These examples highlighted the versatility of these tools in supporting a wide range of research activities, from epidemiological studies to outcomes research and beyond.
The presentation also underscored the importance of training and support. VCU offers a wealth of resources, including live seminars, recorded workshops, and personalized consultations through the Wright Center. Whether you’re a seasoned researcher or just getting started, these resources are designed to help you maximize the potential of TriNetX, Cosmos, and Epic in your research endeavors.
Getting Started: Your Next Steps
For researchers eager to dive into retrospective studies, the presentation provided clear guidance on how to get started. The first step is to request access to these tools, followed by a review of the available training materials. Familiarizing yourself with the data sets and identifying potential research opportunities are crucial next steps in leveraging these powerful resources.
By understanding the capabilities of TriNetX, Cosmos, and EPIC, researchers can unlock new opportunities for discovery, ultimately contributing to the advancement of medical science and patient care. Whether you’re exploring cohort studies, conducting epidemiological research, or analyzing health outcomes, these tools are key to making your research both impactful and compliant.
Check out these tools and more at https://cctr.vcu.edu/support/informatics/
Categories Clinical Research, Clinical Trials, Collaboration, Data Science, Research