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Biomedical Informatics Tools & Platforms

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Advance your research with the CTSC’s secure data infrastructure and advanced informatics solutions. Available to investigators across all partner institutions, our suite of tools enables secure electronic data capture, access to massive local and national real-world EHR datasets, and high-security computing workspaces. From protocol feasibility and clinical trial tracking to advanced computational biology, the CTSC provides the data resources, hands-on training, and expert support necessary to power data-driven discoveries.

 

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REDCap (Research Electronic Data Capture)

REDCap is a secure, HIPAA-compliant platform provided by the CTSC for building custom research databases, tracking longitudinal study data, and launching participant surveys. Backed by dedicated technical support, it is ideal for electronic data capture, clinical trial data management, and survey design.

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TriNetX

TriNetX provides federated access to millions of de-identified EHR records across partner health systems, including University Hospitals and MetroHealth. This platform allows researchers to explore aggregate health data without requiring initial data use agreements, making it ideal for cohort feasibility analysis, retrospective EHR studies, and protocol development.

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Epic Cosmos

Epic Cosmos aggregates de-identified, longitudinal EHR data from over 300 million patients across thousands of clinics and hospitals nationwide. This massive HIPAA-compliant environment integrates clinical data with social determinants of health, making it ideal for real-world evidence research, population health analytics, and multi-site cohort discovery.

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National Clinical Cohort Collaborative (N3C)

Developed by NCATS, N3C harmonizes EHR data from over 90 institutions into a secure national enclave supporting collaborative analysis in R and Python. It hosts the nation’s largest open database for Long COVID and other expanding disease domains, making it ideal for national real-world evidence studies and collaborative data science.

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Secure Research Environment (SRE)

The Secure Research Environment (SRE) is a high-security computing workspace built to enforce strict data governance and compliance with HIPAA and FERPA standards. It provides a guarded infrastructure for complex analysis on sensitive, regulated, or restricted datasets, making it ideal for studies involving identified EHR records and linked administrative datasets.

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SHED

Operating within the secure SRE, SHED combines OnCore® and Labmatrix™ to manage longitudinal clinical data and versioned IRB protocols alongside complete biospecimen tracking. This unified setup handles logistics, barcoding, and chain-of-custody reporting, making it ideal for clinical trial data management and end-to-end biospecimen logistics.

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Cleveland Institute for Computational Biology

This institute bridges advanced data science with complex biology, providing the high-performance computing resources and expert consultation needed to analyze high-dimensional biological datasets. It streamlines workflows to accelerate translational discoveries, making it ideal for genomics, proteomics, multi-omics integration, and custom bioinformatics pipelines.