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510(k) Data Aggregation

    K Number
    K091395
    Date Cleared
    2009-06-05

    (25 days)

    Product Code
    Regulation Number
    870.1025
    Reference & Predicate Devices
    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    Indicated for use by health care professionals whenever there is a need for monitoring the physiological parameters of patients. Intended for monitoring and recording of and to generate alarms for multiple physiological parameters of adults, pediatrics and neonates in hospital environments. The MP5 is also intended for use in transport situations within and outside of hospital environments.

    Device Description

    The Philips IntelliVue MP5 Patient Monitor is a device for monitoring and recording of and to generate alarms for, multiple physiological parameters. The modification is the introduction of software release G.1.

    AI/ML Overview

    Here's a summary of the acceptance criteria and study information based on the provided text for the Philips IntelliVue MP5 Patient Monitor:

    1. Table of Acceptance Criteria and Reported Device Performance

    The provided document does not contain a specific table detailing quantitative acceptance criteria and corresponding reported device performance metrics. Instead, it states:

    Criterion TypeDetails
    Acceptance Criteria"Pass/Fail criteria were based on the specifications cleared for the predicate device."
    Device Performance"Test results showed substantial equivalence. The results demonstrate that the Philips IntelliVue MP5 Patient Monitor meets all reliability requirements and performance claims."

    2. Sample Size Used for the Test Set and Data Provenance

    The document does not specify the sample size used for the test set or the data provenance (e.g., country of origin, retrospective or prospective). It simply mentions "Verification, validation, and testing activities."

    3. Number of Experts Used to Establish Ground Truth for the Test Set and Qualifications

    The document does not provide information about the number of experts used to establish ground truth or their qualifications.

    4. Adjudication Method for the Test Set

    The document does not specify any adjudication method used for the test set.

    5. Multi-Reader Multi-Case (MRMC) Comparative Effectiveness Study

    No multi-reader multi-case (MRMC) comparative effectiveness study is mentioned in the provided text, nor is there any discussion of an effect size for human readers improving with or without AI assistance. The device is a patient monitor, not an AI-assisted diagnostic tool in the sense of image interpretation.

    6. Standalone (Algorithm Only) Performance Study

    The document describes "system level and regression tests as well as testing from the hazard analysis" to establish performance, functionality, and reliability. This implies standalone testing of the software (algorithm only) as part of the system, but specific details or dedicated "standalone study" results are not provided beyond the general statement of meeting requirements.

    7. Type of Ground Truth Used

    The document implies that the ground truth for testing was based on "specifications cleared for the predicate device" and "reliability requirements and performance claims." This suggests internal engineering specifications and expected performance, rather than external expert consensus, pathology, or outcomes data in a clinical trial sense.

    8. Sample Size for the Training Set

    The document does not mention any training set or its sample size. This is a software update for a patient monitor, and the testing described focuses on verification and validation against established specifications, not on an AI model that requires a distinct training phase.

    9. How the Ground Truth for the Training Set Was Established

    Since no training set is mentioned, there is no information on how its ground truth was established.

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

    Indicated for use by health care professionals whenever there is a need for monitoring and recording of and to generate alarms for multiple physiological parameters of adults, pediatrics and neonates in a hospital environment and during transport situations within and outside of hospital environment.

    Device Description

    The modified Philips MP5 IntelliVue Patient Monitor is substantially equivalent to previously cleared Philips MP5 IntelliVue Patient Monitor marketed pursuant to K062392, the M3/M3046A Compact Portable Patient Monitor marketed pursuant to K971910, K992273, K030973, and the Welch Allyn SureTemp® Plus thermometer module marketed pursuant to K031740. The modification adds the capability to the MP5 patient monitor to interface to the legally marketed Welch Allyn SureTemp® Plus thermometer module. The modification also adds the capability to the MP5 patient monitor to function in a transport environment outside of hospitals, such as a road ambulance, airplane or helicopter.

    AI/ML Overview

    The provided document is a 510(k) summary for the Philips MP5 IntelliVue Patient Monitor. It describes the device, its intended use, and its substantial equivalence to predicate devices. However, it does not contain the specific details about acceptance criteria, device performance, sample sizes, ground truth establishment, or expert qualifications that you requested for a detailed study description.

    The document broadly states: "Verification, validation, and testing activities establish the performance, functionality, and reliability characteristics of the modified device with respect to the predicate. Testing involved system level tests, performance tests, EMC, safety and environmental testing from hazard analysis. Pass/Fail criteria were based on the specifications cleared for the predicate devices and test results showed substantial equivalence. The results demonstrate that the modified Philips MP5 IntelliVue Patient Monitor meets all reliability requirements and performance claims."

    This statement is very general and does not provide the specific quantitative information you are looking for. It confirms that testing was done and performance claims were met, but it lacks the detailed breakdown of the acceptance criteria and results.

    Therefore, I cannot populate the table or answer most of your detailed questions based solely on the provided text. The document is a regulatory submission summary, not a detailed technical study report.

    Here's what I can extract and what is missing:

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

    CategoryAcceptance CriteriaReported Device Performance
    General Performance"Pass/Fail criteria were based on the specifications cleared for the predicate devices""Test results showed substantial equivalence. The results demonstrate that the modified Philips MP5 IntelliVue Patient Monitor meets all reliability requirements and performance claims."
    Specific Parameters(Not provided in this summary)(Not provided in this summary)
    Reliability(Implied by "reliability requirements")"meets all reliability requirements"
    Functionality(Implied by "functionality characteristics")(Not specified quantitatively)
    EMC(Implied requirements)Tested, assumed to pass given overall conclusion
    Safety(Implied requirements)Tested, assumed to pass given overall conclusion
    Environmental(Implied requirements)Tested, assumed to pass given overall conclusion

    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 (Test Set): Not specified.
    • Data Provenance: Not specified. The device manufacturer is in Germany, but the testing details are not provided.
    • Retrospective/Prospective: 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/Not specified. This document pertains to a patient monitor, which would likely be evaluated against reference standards (e.g., highly accurate sensors, calibrated equipment) rather than expert human interpretation for ground truth.

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

    • Not applicable/Not specified. (See point 3)

    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/Not specified. This is a patient monitor, not an AI-assisted diagnostic tool for human readers.

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

    • The testing described, "system level tests, performance tests, EMC, safety and environmental testing," generally refers to standalone device performance against specifications. There's no mention of a human-in-the-loop study.

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

    • Not explicitly defined, but for patient monitors, the "ground truth" for physiological parameters (like ECG, blood pressure, temperature) would typically be established by highly accurate and calibrated reference measurement devices.

    8. The sample size for the training set

    • Not applicable/Not specified. This device is not described as having a "training set" in the context of machine learning or AI. Its core technology would be signal processing and hardware integration, not learned algorithms from a dataset.

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

    • Not applicable/Not specified. (See point 8)
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