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The monitor is indicated for use by healthcare professionals whenever there is a need for monitoring the physiological parameters of patients. The monitor is intended to be used for monitoring and recording of, and to generate alarms, for, multiple physiological parameters of adults, pediatrics, and neonates. The monitor is intended for use by trained healthcare professionals in a hospital environment. The monitor is also intended for use during patient transport inside and outside of the hospital environment. The monitor is only for use on one patient at a time. It is not intended for home use. Not a therapeutic device. The monitor is for prescription use only. The ECG measurement is intended to be used for diagnostic recording of rhythm and detailed morphology of complex cardiac complexes (according to AAMI EC 11). ST segment monitoring is intended for use with adult patients only and is not clinically validated for use with neonatal and pediatric patients. The Predictive Temperature unit is intended for use with adult and pediatric patients in a hospital environment. The SSC Sepsis Protocol, in the ProtocolWatch clinical decision support tool, is intended for use with adult patients only. The derived measurement Pulse Pressure Variation (PPV) is intended for use with sedated patients receiving controlled mechanical ventilation and mainly free from cardiac arrhythmia. The PPV measurement has been validated only for adult patients. The transcutaneous gas measurement (tcGas) is restricted to neonatal patients only. BIS is intended for use under the direct supervision of a licensed health care practitioner or by personnel trained in its proper use. It is intended for use on adult and pediatric patients within a hospital or medical facility providing patient care to monitor the state of the brain by data acquisition of EEG signals. The BIS may be used as an aid in monitoring the effects of certain anesthetic agents. Use of BIS monitoring to help guide anesthetic administration may be associated with the reduction of the incidence of awareness with recall in adults during general anesthesia and sedation.

The Philips IntelliVue Patient Monitors family comprises the multiparameter patient monitor series: MP2, X2, MP5, MP5T, MP5SC, MP20, MP30, MP40, MP50, MP60, MP70, MP80, MP90 and MX600, MX700, and MX800. Each monitor consists of a display unit including built-in or separate central processing unit (CPU) and physiological measurement modules. All monitors share the same architecture of CPU units and exactly the same software is executed on each monitor. The monitors measure physiological parameters such as: Sp02, pulse, ECG, arrhythmia, ST, QT, respiration, invasive and noninvasive blood pressure, temperature, CO2, spirometry, C.O., CCO, tcp02/ tcpCO2, S02, Sv02, Scv02, EEG, and BIS. They generate alarms, record physiological signals, store derived data, and communicate derived data and alarms to the central station. IntelliVue series MP2, X2, MP5, MP5T, MP5SC, MP20, and MP30 are robust, portable, lightweight, compact in size and modular in design patient monitors with interfaces to dedicated external measurement devices. Models MP2, X2, MP5, MP5T, and MP5SC also incorporate multiple built-in physiological measurements. IntelliVue series MP40, MP50, MP60, MP70, MX600, MX700, and MX800 are patient monitors with built-in central processing unit, flat panel display and interfaces to dedicated external measurement devices. Models MX600, MX700, and MX800 have widescreen displays. IntelliVue series MP80 and MP90 are patient monitors with flat panel display and central processing unit as separate components. They have interfaces to dedicated external measurement devices.

Here's a breakdown of the acceptance criteria and the study information based on the provided text, structured as requested:

Acceptance Criteria and Device Performance Study for Philips IntelliVue Patient Monitors (Software Revision J.04)

Overview:
The submission describes a software modification to existing Philips IntelliVue Patient Monitors (MP2, X2, MP5, MP5T, MP5SC, MP20, MP30, MP40, MP50, MP60, MP70, MP80, MP90, MX600, MX700, and MX800) to introduce a new SpO2 intelligent alarm delay feature called 'Smart Alarm Delay'. The study aims to demonstrate that this modified device is as safe and effective as the predicate devices.

1. Table of Acceptance Criteria and Reported Device Performance

The document does not explicitly present a quantitative table of acceptance criteria with corresponding performance metrics for the 'Smart Alarm Delay' feature in the format often seen for diagnostic devices (e.g., sensitivity, specificity, accuracy). However, the "Summary of V&V activities" section outlines the general performance goals and outcomes.

2. Sample Size and Data Provenance for the Test Set

• Sample Size: The document does not specify the exact number of individuals (test persons) involved in the clinical evaluation. It refers to "two user groups - one consisting of physicians and one consisting of nurses" and later "the vast majority of test persons." This suggests a qualitative assessment rather than a statistically powered performance study.
• Data Provenance: Not explicitly stated, but clinical evaluation of user understanding implies prospective testing with healthcare professionals. The country of origin for this specific clinical evaluation is not mentioned.

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

• The "clinical evaluation" appears to focus on user comprehension and acceptance, not on establishing a traditional clinical "ground truth" for diagnostic accuracy.
• Number of Experts: Two user groups were formed: "one consisting of physicians and one consisting of nurses." The exact number of individuals within each group is not provided.
• Qualifications of Experts:
  • Physicians
  • Nurses
  • No specific years of experience or subspecialty are mentioned.

4. Adjudication Method for the Test Set

Not applicable. The clinical evaluation described is a qualitative assessment of user understanding and perception, not a diagnostic accuracy study requiring adjudication of results.

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

No. The document describes a software modification to an existing patient monitor to add an intelligent alarm delay feature. The "clinical evaluation" focused on user understanding and acceptance of this feature, not on comparing reader performance with and without AI assistance.

6. Standalone Performance Study (Algorithm Only)

No, not in the traditional sense of a standalone diagnostic algorithm performance study. The modification is an alarm delay feature within an existing monitoring system. The document states:

• "The new 'Smart Alarm Delay' feature is isolated from the SpO2 measurement algorithm, i.e. signal acquisition and numeric processing."
• "The devices hardware and all accessories including, but not limited to the SpO2 sensors remain completely unchanged."
• "The modification does not affect device performance in general and device accuracy in particular."
• Performance aspects covered by ISO 9919 from prior V&V are considered still valid.

This indicates that the fundamental SpO2 measurement accuracy itself was not re-evaluated as a standalone algorithm performance, as the algorithm for SpO2 measurement remained unchanged. The focus was on the alarm delay logic and its user-facing implications.

7. Type of Ground Truth Used

For the "clinical evaluation" regarding the 'Smart Alarm Delay' feature, the "ground truth" appears to be user understanding and subjective opinion as gathered directly from physicians and nurses. For the core SpO2 measurement, the ground truth and performance validation are based on prior verification and validation activities conducted according to ISO 9919 for the predicate device, which are deemed still valid.

8. Sample Size for the Training Set

Not applicable. This submission is for a software modification adding an alarm delay feature, not a machine learning or AI algorithm that requires a dedicated training set for model development. The 'Smart Alarm Delay' is described as being "based on the same fundamental principle" as the predicate's 'SatSeconds' alarm management technique, implying a rule-based or empirically derived logic rather than a learned model.

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

Not applicable, as no training set for a machine learning model was described or used.

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Indicated for use by health care professionals whenever there is a need for monitoring the physiological parameters of patients. Intended for monitoring, recording and alarming of multiple physiological parameters of adults, pediatrics and neonates in hospital environments.

EASI 12-lead ECG is only for use on adult and pediatric patients.

ST Segment monitoring is restricted to adult patients only.

The transcutaneous gas measurement (tcpO2 / tcpCO2) is restricted to neonatal patients only.

The Philips MP40, MP50, MP60, MP70, and MP90 IntelliVue Patient Monitor.

The provided text describes a 510(k) summary for the Philips IntelliVue Patient Monitors, specifically focusing on the introduction of Release B.0 software and new models. However, it does not include the details typically found in a study proving a device meets specific acceptance criteria in the context of AI/ML or diagnostic performance. This document is a regulatory submission for a patient monitor, which is a hardware device with software, not a diagnostic AI algorithm.

Therefore, many of the requested categories related to AI/ML or diagnostic performance studies (like sample size for test/training sets, experts for ground truth, MRMC studies, standalone performance, etc.) are not applicable or not provided in this document.

Here's an attempt to answer the questions based only on the provided text, indicating where information is not available:

Acceptance Criteria and Device Performance Study for Philips IntelliVue Patient Monitors (K032858)

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

The document refers to acceptance criteria generally but does not provide a specific table of quantitative acceptance criteria or detailed performance metrics.

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

• Sample Size: Not specified. The document mentions "system level tests, performance tests, and safety testing" but does not detail the number of cases, patients, or data points used in these tests.
• 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/Not specified. This document is for a patient monitor (hardware and general software), not a diagnostic AI algorithm requiring expert-established ground truth for a test set in the typical sense of a diagnostic performance study. The "ground truth" for a patient monitor would be its accurate measurement and display of physiological parameters, which is validated through engineering tests against known standards.

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

Not applicable/Not specified. Adjudication methods like 2+1 or 3+1 are typically used in studies involving human interpretation (e.g., image reading) where multiple experts resolve disagreements to establish a ground truth. This is not the type of testing described for a patient monitor.

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 a patient monitor, and the testing described is not an MRMC comparative effectiveness study comparing human readers with and without AI assistance for interpretation.

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

Not applicable. While the device contains algorithms for monitoring various physiological parameters (e.g., arrhythmia detection, ST segment monitoring), the document does not describe standalone algorithm performance testing in the context of an AI/ML diagnostic or predictive algorithm being evaluated against a ground truth as typically understood for this type of question. The "performance" mentioned refers to the overall device's ability to accurately measure and display parameters.

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

Not specified in detail. For a patient monitor, the "ground truth" for performance testing would typically involve established reference standards, calibrated equipment, and simulated physiological signals to ensure accuracy of measurements (e.g., ECG, blood pressure, temperature, O2 saturation). The document states "Pass/Fail criteria were based on the specifications cleared for the predicate device," implying performance was compared against predetermined technical specifications.

8. The sample size for the training set

Not applicable/Not specified. The document describes a software release (Release B.0) for established patient monitors, not the development of a novel AI/ML algorithm that requires a "training set" in the context of machine learning.

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

Not applicable/Not specified, as there is no mention of a "training set" in the context of machine learning for an AI algorithm.

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