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510(k) Data Aggregation

    K Number
    K100947
    Date Cleared
    2010-06-28

    (83 days)

    Product Code
    Regulation Number
    880.5725
    Reference & Predicate Devices
    Why did this record match?
    Device Name :

    FINESSE PERSONAL INSULIN DELIVERY PATCH, MODEL FG 2000

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

    The Finesse Insulin Delivery System is intended for the subcutaneous, bolus delivery of insulin for the management of diabetes mellitus in persons requiring insulin.

    Device Description

    The Finesse Insulin Delivery System is a sterile, nonpyrogenic, single-use, external, disposable, ambulatory, insulin, bolus dosing system through which clinician-prescribed medications are delivered subcutaneously. The Finesse Insulin Delivery System is composed of a positive volume displacement drug delivery device with infusion cannula and integrated Inserter, and a drug delivery device filler. The device is adhered to the skin with a biocompatible adhesive.

    The Finesse Insulin Delivery System has an integrated cannula and Inserter. The infusion cannula Inserter is used to place the cannula in the subcutaneous tissues. It contains an insertion needle located in the lumen of the infusion catheter cannula. A safety mechanism prevents premature actuation of the insertion needle mechanism to prevent injuries. Following cannula placement, the needle is retracted within the body of the Inserter to prevent sharps exposure. Once the needle is retracted, the Inserter automatically releases the Inserter from the drug delivery component.

    The Finesse Insulin Delivery System materials are biocompatible plastics, elastomers, and stainless steel.

    AI/ML Overview

    The provided text does not contain information about acceptance criteria or specific studies that prove the device meets these criteria in the typical format of a clinical or performance study. Instead, it describes general design verification and user studies without specific metrics or methodologies.

    Here's a breakdown of the available information based on your requested points:

    1. A table of acceptance criteria and the reported device performance

    The document mentions "Design verification studies have been completed that demonstrate the wear and mechanical reliability of the device for the period of time specified in the device labeling" and "User studies have completed that demonstrate the readability and user comprehension of the labeling."

    However, specific acceptance criteria (e.g., "device must deliver X +/- Y% of intended insulin dose") and quantitative performance results are NOT provided in this 510(k) summary.

    2. Sample sized used for the test set and the data provenance (e.g. country of origin of the data, retrospective or prospective)

    This information is NOT provided in the document.

    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)

    This information is NOT provided in the document. The studies mentioned are general "design verification" and "user studies," which typically don't involve expert establishment of ground truth in the same way a diagnostic device might.

    4. Adjudication method (e.g. 2+1, 3+1, none) for the test set

    This information is NOT provided in the document.

    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

    This information is NOT applicable as the device is an insulin delivery system, not an AI-powered diagnostic device that involves human "readers."

    6. If a standalone (i.e. algorithm only without human-in-the loop performance) was done

    This information is NOT applicable as the device is an insulin delivery system, not an algorithm.

    7. The type of ground truth used (expert consensus, pathology, outcomes data, etc)

    This information is NOT provided in the document. The general nature of the studies ("compatibility and stability," "wear and mechanical reliability," "user comprehension") suggests that ground truth would be established through direct measurements, chemical analysis, mechanical testing, and user feedback, rather than expert consensus on diagnostic interpretations.

    8. The sample size for the training set

    This information is NOT provided in the document. The device is a mechanical/electronic system, not a machine learning algorithm that typically requires a "training set."

    9. How the ground truth for the training set was established

    This information is NOT applicable as the device is a medical device, not a machine learning algorithm.

    Summary of what is available:

    The 510(k) Summary for the Finesse Personal Insulin Delivery Patch (K100947) states that:

    • Compatibility and stability studies were performed to demonstrate chemical, physical, microbiological stability, and biocompatibility of insulin in the device for the specified period.
    • Design verification studies were completed to demonstrate the wear and mechanical reliability of the device for the specified period.
    • User studies were completed to demonstrate the readability and user comprehension of the labeling.

    The document indicates that these studies (without providing details like sample sizes, specific metrics, or methodologies) were sufficient for FDA to determine substantial equivalence based on the modified labeling for extended usage duration. The primary change from the predicate device (K093065) was this extended usage period (from an unspecified duration to 48-72 hours, consistent with insulin manufacturer labeling).

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    K Number
    K093065
    Date Cleared
    2010-01-20

    (112 days)

    Product Code
    Regulation Number
    880.5725
    Reference & Predicate Devices
    Why did this record match?
    Device Name :

    FINESSE PERSONAL INSULIN DELIVERY PATCH, MODEL FG-2000

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

    The Finesse Insulin Delivery System is intended for the subcutaneous, bolus delivery of insulin for the management of diabetes mellitus in persons requiring insulin.

    Device Description

    The Finesse Insulin Delivery System is a sterile, nonpyrogenic, single-use, external, disposable, ambulatory, insulin, bolus dosing system through which clinician-prescribed medications are delivered subcutaneously. The Finesse Insulin Delivery System is composed of a positive volume displacement drug delivery device with infusion cannula and integrated Inserter, and drug delivery device filler. The device is adhered to the skin for up to 48 hours with a biocompatible adhesive. The Finesse Insulin Delivery System has an integrated cannula and Inserter. The infusion cannula Inserter is used to place the cannula in the subcutaneous tissues. It contains an insertion needle located in the lumen of the infusion catheter cannula. A safety mechanism prevents premature actuation of the insertion needle mechanism to prevent injuries. Following cannula placement, the needle is retracted within the body of the Inserter to prevent sharps exposure. Once the needle is retracted, the Inserter automatically releases the Inserter from the drug delivery component. The Finesse Insulin Delivery System materials are biocompatible plastics, elastomers, and stainless steel.

    AI/ML Overview

    The provided text describes a 510(k) summary for the Finesse Personal Insulin Delivery Patch. It outlines the device description, intended use, technological characteristics, and non-clinical performance data. However, it explicitly states:

    "No clinical performance data is required to validate the intended uses and user needs of the system. Design validation is completed by human factors simulated use testing."

    This means that the document does not contain acceptance criteria in terms of clinical performance metrics (like sensitivity, specificity, accuracy, etc.) for the device itself or any study that proves the device meets such criteria through clinical trials. Instead, reliance is placed on conformance to consensus standards, FDA guidance, and human factors simulated use testing for design validation.

    Therefore, many of the requested items in your prompt, particularly those related to clinical performance, a test set, ground truth, experts, and comparative effectiveness studies, cannot be extracted from this document.

    Here's what can be extracted based on the provided text:

    1. Table of Acceptance Criteria and Reported Device Performance

    Given the explicit statement that no clinical performance data is required and that design validation is completed by human factors simulated use testing, the acceptance criteria are primarily defined by adherence to a list of consensus standards and FDA guidance. The document does not provide specific quantitative performance metrics beyond this.

    Acceptance Criteria (Primary Source)Reported Device Performance (Primary Source)
    Conformance to various ANSI/AAMI/ISO, USP, IEC, and ASTM standards (e.g., ISO 10993-1 for biocompatibility, ASTM F 88-07a for seal strength, ISO 11608-1 for pen-injectors)"Data establishing conformance to the following consensus standards and FDA guidance is maintained in the design history file and establishes the substantial equivalence with the predicate devices. The conclusions drawn from the data support the equivalence, safety, and effectiveness of the system."
    Conformance to FDA Guidance documents (e.g., Guidance on the Content of Premarket Notification 510(k) Submissions for Piston Syringes)"Data establishing conformance to the following consensus standards and FDA guidance is maintained in the design history file and establishes the substantial equivalence with the predicate devices. The conclusions drawn from the data support the equivalence, safety, and effectiveness of the system."
    Design validation by human factors simulated use testing"Design validation is completed by human factors simulated use testing." (No specific performance metrics from this testing are detailed in the provided text.)

    2. Sample size used for the test set and the data provenance

    Not applicable, as no clinical performance test set data is presented. The design validation was conducted through "human factors simulated use testing," but details on sample size, data provenance, or specific test outcomes are not provided.

    3. Number of experts used to establish the ground truth for the test set and the qualifications of those experts

    Not applicable, as no clinical performance test set data requiring expert ground truth is presented.

    4. Adjudication method (e.g. 2+1, 3+1, none) for the test set

    Not applicable, as no clinical performance test set data requiring adjudication is presented.

    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 device is an insulin delivery system, not an AI-powered diagnostic or assistive tool, and the document explicitly states no clinical performance data was required, let alone an MRMC study with AI.

    6. If a standalone (i.e. algorithm only without human-in-the-loop performance) was done

    Not applicable. This device is not an algorithm, but a physical medical device requiring human interaction.

    7. The type of ground truth used (expert consensus, pathology, outcomes data, etc.)

    Not applicable for clinical performance data. The "ground truth" for the device's substantial equivalence and safety/effectiveness is based on its conformance to established consensus standards and FDA guidance, as well as the outcome of human factors simulated use testing.

    8. The sample size for the training set

    Not applicable, as this is a physical medical device and not an AI algorithm that undergoes training on a data set.

    9. How the ground truth for the training set was established

    Not applicable, as this is a physical medical device and not an AI algorithm.

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