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510(k) Data Aggregation
(29 days)
BD VACUTAINER SAFETY-LOK ADMINISTRATION SET WITH FILTER
The BD Vacutainer® Safety-Lok™ Administration Set with Filter is a sterile, single-use wing set intended for the intravenous administration of fluids and may be used for any patic population with consideration given to patient size, appropriateness for the solution being infus and duration of therapy. The BD Vacutainer® Safety-Lok™ Administration Set with Fil minimizes the possibility of needlesticks if manually activated following administration.
The BD Vacutainer® Safety-Lok™ Administration Set with Filter is intended for the infusion of fluids. The wing set contains a safety shield that is manually activated once infusion is complete, helping to prevent accidental needle sticks.
The provided text describes the BD Vacutainer® Safety-Lok™ Administration Set with Filter, but it does not contain specific acceptance criteria or a detailed study report with the information requested in your bullet points.
The document is a 510(k) summary, which focuses on demonstrating substantial equivalence to a predicate device. It briefly mentions "Extensive mechanical and compatibility testing was performed to demonstrate the device's safety and effectiveness," but it does not provide the results of these tests against specific acceptance criteria.
Therefore, I cannot populate the table or answer the specific questions about sample size, expert qualifications, adjudication methods, MRMC studies, standalone performance, or ground truth details.
Here's what I can extract based on the limited information provided:
1. A table of acceptance criteria and the reported device performance
Acceptance Criteria | Reported Device Performance |
---|---|
Not specified | "Extensive mechanical and compatibility testing was performed to demonstrate the device's safety and effectiveness." (No specific performance metrics are reported.) |
2. Sample sized used for the test set and the data provenance (e.g. country of origin of the data, retrospective or prospective)
- Sample Size: Not specified.
- Data Provenance: Not specified.
3. Number of experts used to establish the ground truth for the test set and the qualifications of those experts (e.g. radiologist with 10 years of experience)
- Not applicable as no information on expert review or ground truth establishment is provided for testing an AI/ML device.
4. Adjudication method (e.g. 2+1, 3+1, none) for the test set
- Not applicable. This is not an AI/ML device requiring clinical image/data interpretation.
5. If a multi reader multi case (MRMC) comparative effectiveness study was done, If so, what was the effect size of how much human readers improve with AI vs without AI assistance
- Not applicable. This is not an AI/ML device.
6. If a standalone (i.e. algorithm only without human-in-the-loop performance) was done
- Not applicable. This is not an AI/ML device.
7. The type of ground truth used (expert consensus, pathology, outcomes data, etc.)
- Ground truth as typically understood for AI/ML performance evaluation is not relevant here. The evaluation involved "mechanical and compatibility testing," implying engineering and material science evaluations, likely against predefined specification limits.
8. The sample size for the training set
- Not applicable. This is not an AI/ML device that requires a training set.
9. How the ground truth for the training set was established
- Not applicable. This is not an AI/ML device.
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