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RADx Tech Viability and Steering Panels: A Model for MedTech Translational Grant Review
Paul Tessier1, Michael K Dempsey1, John Collins1
1Consortia for Improving Medicine with Innovation and Technology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114 USA.
IEEE Open Journal of Engineering in Medicine and Biology
|April 6, 2022
Summary
The RADx Tech program rapidly deployed SARS-CoV-2 tests using a unique multi-stage review process. This "assess, improve, then select" method enhanced review efficiency and effectiveness for faster test deployment.
Area of Science:
- Biomedical Engineering
- Public Health
- Diagnostic Test Development
Background:
- The RADx Tech program aimed to accelerate SARS-CoV-2 test deployment, bypassing lengthy traditional grant processes.
- Typical grant application and review cycles can take 4 to 6 months, hindering rapid response.
- Leveraged established methodologies from CIMIT and POCTRN for a streamlined approach.
Purpose of the Study:
- To describe the RADx Tech program's innovative multi-stage review process for rapid diagnostic test deployment.
- To highlight the effectiveness of the "assess, improve, and then select" methodology.
- To demonstrate the potential extensibility of this review model beyond the RADx Tech program.
Main Methods:
- Implemented a multi-stage review system involving a Viability Panel and a Steering Panel.
- Supported panels with subject matter experts and a dedicated Deep Dive team.
- Utilized an "assess, improve, and then select" process with experienced reviewers.
Main Results:
- The Viability Panel assessed proposal fit and recommended progression to a Deep Dive.
- The Steering Panel reviewed Deep Dive outcomes to decide on further funding.
- Consistent review across all applications by both panels ensured context and reliability.
Conclusions:
- The RADx Tech review process significantly improved timing, efficiency, and effectiveness.
- The "assess, improve, and then select" model, with experienced panels, is a successful strategy.
- This approach demonstrates potential for broader application in accelerating technology deployment.

