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Summary

This summary is machine-generated.

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.

Keywords:

Commercialization RADx funding translational research

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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.