Improving SARS-CoV-2 testing data for better use and comparison
Official title: RADx-Rad Discoveries & Data: Consortium Coordination Center Program Organization
Funded at Yale University · NIH-10745886 · Data updated 2026-11-12
This study is working to make COVID-19 test results easier to understand and compare, so that everyone can trust the information no matter where it comes from, helping doctors and researchers provide better care for patients.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Yale University NIH-funded |
| Lab location | 1 site (New Haven, United States) |
| Project start | January 1, 2023 |
| Project end | November 30, 2025 |
| Funding year | 2023 |
| Award (this year) | $5,853,027 |
| NIH project number | 7U24LM013755-03 |
| Project ID | NIH-10745886 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include individuals involved in COVID-19 testing or those who may benefit from improved diagnostic methods.
✕Less likely to help
Patients who are not involved in COVID-19 testing or do not require diagnostic improvements may not receive direct benefits from this research.
What this research studies
This research focuses on standardizing SARS-CoV-2 testing data to ensure it can be reused effectively. By creating a common data model and standardizing terminologies, the project aims to make data from various sources comparable. The initiative involves collaboration with leading institutions to provide guidance on how diagnostic tests perform against FDA-approved standards and in real-world settings. The goal is to enhance the usability and reliability of COVID-19 diagnostics across different environments.
Why it matters
Potential benefit: If successful, this research could lead to more reliable and standardized COVID-19 testing, improving patient outcomes and public health responses.
How similar studies have gone: Previous research has shown success in standardizing medical data for improved diagnostics, indicating that this approach has potential for impactful outcomes.
Where this research is happening
-
Yale University
New Haven, United States Active
Researchers
- Principal investigator: Ohno-Machado, Lucila — Yale University
- Study coordinator: Ohno-Machado, Lucila
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About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page.