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510(k) Data Aggregation

    K Number
    K213846
    Date Cleared
    2022-06-05

    (177 days)

    Product Code
    Regulation Number
    880.5440
    Reference & Predicate Devices
    Why did this record match?
    Device Name :

    Q2 Blood Administration Sets

    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    The Blood Administration Sets are used to deliver blood, blood components, and IV fluids from a container to a patient's vascular system. These devices may be used for any patient population with consideration given to adequacy of vascular anatomy and appropriateness for the solution being infused and the duration of therapy.

    Device Description

    Quest Medical's Q2 Blood Administration Sets are single use, disposable intravenous administration sets used to deliver blood, blood components and IV fluids from a container to a patient's vascular system through the use of a hand pump or through gravity flow. The sets include tubing, bag spike, 200 micron blood filter drip chamber, luer connectors, clamps, hand pump, stopcock and needleless connector.

    AI/ML Overview

    The provided document is a 510(k) Summary for a medical device called "Q2 Blood Administration Sets." This type of document is for demonstrating substantial equivalence to a predicate device, not for proving the performance of an AI/ML device.

    Therefore, the information requested in your prompt regarding acceptance criteria and studies for AI/ML device performance (like sample size, ground truth, expert adjudication, MRMC studies, standalone performance, training set details) cannot be extracted from this document.

    This document describes the regulatory approval process for a physical medical device (blood administration sets) and its equivalence to a previously approved device. The "Performance Data" section refers to bench testing (e.g., ISO standards, particulate matter, mechanical hemolysis), biocompatibility testing, and sterility/shelf-life testing for the physical device, not an AI/ML algorithm.

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