Improving SARS-CoV-2 testing data for better diagnostics
RADx-Rad Discoveries & Data: Consortium Coordination Center Program Organization
This study is working to make COVID-19 test results easier to understand and compare, so that patients can benefit from better and more reliable testing tools.
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 ID | NIH-10854683 on NIH RePORTER |
What this research studies
This research focuses on standardizing SARS-CoV-2 testing data to ensure it is comparable and reusable across different diagnostic platforms. By developing a common data model and terminology, the project aims to enhance the accuracy and reliability of COVID-19 diagnostics. The initiative involves collaboration with leading institutions to benchmark new diagnostic technologies against established FDA-approved tests, ensuring they meet real-world usability standards. Patients may benefit from improved diagnostic tools that are validated and standardized for better health outcomes.
Who could benefit from this research
Good fit: Ideal candidates for this research include individuals undergoing COVID-19 testing or those involved in clinical trials for new diagnostic methods.
Not a fit: Patients who are not undergoing COVID-19 testing or are not involved in related clinical trials may not receive direct benefits from this research.
Why it matters
Potential benefit: If successful, this research could lead to more accurate and reliable COVID-19 testing, ultimately improving patient care and public health responses.
How similar studies have performed: Previous research has shown success in standardizing diagnostic data, indicating that this approach has the potential for significant impact.
Where this research is happening
New Haven, United States
- Yale University — New Haven, United States (Active)
Researchers
- Principal investigator: Ohno-Machado, Lucila — Yale University
- Study coordinator: Ohno-Machado, Lucila
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 below.