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510(k) Data Aggregation
(99 days)
The Unity Network ID is indicated for use in data collection and clinical information management through networks with independent bedside devices. The Unity Network ID is not intended for monitoring purposes, nor is the Unity Network ID intended to control any of the clinical devices (independent bedside devices/ information systems) it is connected to.
The Unity Network ID system communicates patient data from sources other than GE Medical Systems Information Technologies, Inc. equipment to a clinical information system, central station, and/or GE Medical Systems Information Technologies Inc. patient monitors.
The Unity Network ID acquires digital data from eight serial ports, converts the data to Unity Network protocols, and transmits the data over the monitoring network to a Unity Network device such as a patient monitor, clinical information system or central station.
The provided document is a 510(k) summary for the GE Healthcare Unity Network ID V7. It describes a data collection and clinical information management system.
Here's an analysis of the acceptance criteria and study information based on the provided text:
1. Table of Acceptance Criteria and Reported Device Performance
The document does not explicitly list specific quantitative acceptance criteria (e.g., accuracy, sensitivity, specificity) for the Unity Network ID V7, nor does it present device performance against such. Instead, it focuses on demonstrating that the device meets design specifications and complies with applicable voluntary standards.
The "Determination of Substantial Equivalence: Summary of Non-Clinical Tests" section indicates: "The Unity Network ID V7 and its applications were tested to, and comply with, applicable voluntary standards. The Unity Network ID V7 was tested to assure that the device meets its design specifications."
Acceptance Criteria Category | Specific Criteria (from document) | Reported Device Performance (from document) |
---|---|---|
Standards Compliance | Compliance with applicable voluntary standards | "The Unity Network ID V7 and its applications were tested to, and comply with, applicable voluntary standards." |
Design Specifications | Device meets its design specifications | "The Unity Network ID V7 was tested to assure that the device meets its design specifications." |
Quality Assurance Measures | Adherence to specified QA processes | "The following quality assurance measures were applied to the development and testing of the system: • Risk Analysis • Requirements Reviews • Design Reviews • Testing on unit level (Module verification) • Integration testing (System verification) • Performance testing (Verification) • Safety testing (Verification) • Simulated use testing (Validation)" |
Clinical Equivalence | Not stated as a performance criterion, but the overall conclusion is related to safety, effectiveness, and substantial equivalence to the predicate. | "GE Healthcare considers the Unity Network ID V7 to be as safe, as effective, and its performance is substantially equivalent to the predicate device(s)." |
2. Sample Size Used for the Test Set and Data Provenance
The document does not specify a "test set" in the context of clinical or performance data from a specific dataset of patients or cases. The testing described is primarily software and hardware verification and validation, rather than an evaluation against a clinical dataset. Therefore, there is no mention of sample size or data provenance (country of origin, retrospective/prospective).
3. Number of Experts Used to Establish the Ground Truth for the Test Set and Qualifications
Since there is no "test set" based on patient data, there is no mention of experts needed to establish ground truth or their qualifications. The "ground truth" in this context refers to the successful functionality and compliance of the device against its specifications and standards.
4. Adjudication Method for the Test Set
Not applicable, as there is no mention of a test set requiring adjudication by experts.
5. If a Multi-Reader Multi-Case (MRMC) Comparative Effectiveness Study was done, and Effect Size
No, an MRMC comparative effectiveness study was not done. The device is a data collection and management system, not an interpretive diagnostic tool that involves human readers interpreting clinical output. The document explicitly states: "The subject of this premarket submission, Unity Network ID V7, did not require clinical studies to support substantial equivalence."
6. If a Standalone (algorithm only without human-in-the-loop performance) was done
The "testing included all new or modified features" and involved various quality assurance measures like unit-level testing, integration testing, performance testing, and safety testing. These tests would evaluate the algorithm's functionality and accuracy in its intended role of data conversion and transmission. So, in essence, the "standalone" performance of the data conversion and routing algorithms was assessed as part of these non-clinical tests. However, it's not a "standalone performance study" in the typical sense of evaluating diagnostic accuracy.
7. The Type of Ground Truth Used
The "ground truth" for the non-clinical tests appears to be:
- Design specifications: The device's output and functionality were compared against predefined technical and functional specifications.
- Voluntary standards: Compliance with relevant engineering and medical device standards (though specific standards are not listed in this summary, they are implied).
- Expected behavior: For simulated use testing and verification, the "ground truth" would be the expected correct data conversion and transmission as per the device's design and independent bedside device protocols.
8. The Sample Size for the Training Set
Not applicable. This device is a data integration and conversion system, not an AI/ML model that requires a "training set" in the typical sense of machine learning for image analysis or diagnostics. Its functionality is based on established communication protocols and data mapping.
9. How the Ground Truth for the Training Set was Established
Not applicable, as there is no training set for this type of device.
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(30 days)
The GE Datex-Ohmeda S/5 ADU Carestation is intended to provide general inhalation anesthesia and ventilatory support to a wide range of patients. The device is intended for volume or pressure control, pressure support and synchronized intermittent mandatory (SIMV) ventilation modes. The ADU is not suitable for use in a MRI environment.
The S/5 ADU (Anesthesia Delivery Unit) Carestation is intended to provide general inhalation anesthesia and ventilatory support to a wide range of patients. It is to be used only by trained and qualified medical professionals.
The S/5 ADU Carestation (shortened as ADU) supplies set flows of medical gases to the breathing system using mechanical gas mixing. Gas flows are selected by the user using the rotary controller on the frame and then displayed as electronic flow indicators on the system display unit. The ADU is equipped with a traditional flow tube, as well. The ADU is also available in a pendant model. It is available with two or three gases, and up to three cylinder connections. All models have O2. The ADU comes with up to two optional gases (air, N2O). Safety features and devices within the ADU are designed to decrease the risk of hypoxic mixtures, agent mixtures and complete power or sudden gas supply failures.
The anesthetic agent delivery for the ADU is controlled via an anesthesia computer through user input from that computer. An Aladin cassette is inserted into the active cassette bay. The cassette holds the agent to be delivered - Halothane, Enflurane, Isoflurane, Desflurane or Sevoflurane. Agent is delivered as a percent volume/volume. The ADU is designed to allow only one active cassette at a time. Per the user input, valves within the active cassette bay will open and allow agent to be delivered. The agent is mixed with gas within the FGC unit. After mixing, the combination of gases and agent is delivered to the breathing system and then onto the patient.
The ADU Anesthesia Ventilator is a microprocessor based, electronically controlled, pneumatically driven ventilator that provides patient ventilation during surgical procedures. Sensors in the breathing circuit are used to control and monitor patient ventilation. This allows for the compensation of compression losses, fresh gas contribution and small leakage in the breathing absorber, bellows and system. User setting and microprocessor calculations control breathing patterns. The user interface keeps settings in memory. The user may change settings with a simple and secure setting sequence. A bellows contains breathing gasses to be delivered to the patient. Positive End Expiratory Pressure (PEEP) is reaulated electronically. Positive pressure is maintained in the breathing system so that any leakage that occurs is outward. Ventilator modes for the device include Volume Mode, Pressure Control Mode, Pressure Support with Apnea Backup Mode (Optional) and Synchronized Intermittent Mandatory Ventilation (SIMV)Mode. Ventilator parameters and measurements are displayed on the system display unit.
The ADU must be used with additional monitoring that include at least inspired 02, expired volume, expired CO2 and Anesthetic Agent.
An RS-232 serial digital communications port connects to and communicates with external devices such a S/5 Anesthesia Monitor (most recently cleared via K051400). Several frame configurations are available, including one that allows for the physical integration of the S/5 Anesthesia Monitor. Additional configurations allow for the mounting of various patient monitors on the top shelf of the ADU.
Here's an analysis of the provided text regarding the acceptance criteria and study for the GE Datex-Ohmeda S/5 ADU Carestation:
Summary of Acceptance Criteria and Device Performance for K090892: GE Datex-Ohmeda S/5 ADU Carestation
It's important to note that this 510(k) submission is for a modification to a previously cleared device, not a completely new device entering the market. Therefore, the focus is on demonstrating that the changes do not introduce new questions of safety or effectiveness and that the modified device maintains performance equivalent to the predicate.
1. Table of Acceptance Criteria and Reported Device Performance:
The document outlines an indirect set of "acceptance criteria" through compliance with recognized standards and a comparison to predicate devices, rather than specific performance metrics directly tied to a new clinical study. The device's performance is accepted if it meets these standards and is substantially equivalent.
Acceptance Criteria Category | Specific Criteria/Standard | Reported Device Performance (as per document) |
---|---|---|
Safety - Electrical | UL 2601 (General requirements for Medical Electrical Equipment) | Verification of compliance made to support safe use. |
EN/IEC 60601-1: 1988 with amendments A1:1991+A2:1995 (General requirements for Medical Electrical Equipment) | Verification of compliance made to support safe use. | |
Safety - EMC | EN/IEC 60601-1-2: 2001 with Amendment 1:2004 (Medical Electrical Equipment - Electromagnetic Compatibility) | Verification of compliance made to support safe use. |
Safety - Alarms | EN 475 (Electrically Generated Alarm Signals) | Verification of compliance made to support safe use. |
ASTM F1463-93 (Standard Specification for Alarm Signals) | Verification of compliance made to support safe use. | |
Performance - Anesthesia Workstations | EN 740 (Anesthetic Work Stations) | Verification of compliance made to support safe use. |
ISO 5358 (Anesthetic Gas Machines) | Verification of compliance made to support safe use. | |
Performance - Breathing Circuits | ASTM F1208-94 (Anesthesia Breathing Circuit Standard) | Verification of compliance made to support safe use. |
Performance - Ventilators | ASTM F1101-90 (Standard Specification for Ventilators Intended for Use During Anesthesia) | Verification of compliance made to support safe use. |
Functionality | Battery backup time and mains voltage range compared to predicate (GE Aisys anesthesia machine K073707). | Same as the predicate device. |
General | Thorough verification of specifications and validation, including software validation. | Completed. |
Substantial Equivalence | No new questions of safety and effectiveness as compared to predicate. | Claimed and accepted by FDA. |
2. Sample Size Used for the Test Set and Data Provenance:
The document explicitly states: "The modifications to the ADU did not require clinical testing."
Therefore, there is no specific test set or clinical data of human subjects mentioned in this submission. The evaluation relies on non-clinical testing and comparison to predicate devices.
3. Number of Experts Used to Establish Ground Truth for the Test Set and Qualifications:
Not applicable, as no clinical test set requiring expert-established ground truth was conducted.
4. Adjudication Method for the Test Set:
Not applicable, as no clinical test set requiring adjudication was conducted.
5. Multi-Reader Multi-Case (MRMC) Comparative Effectiveness Study:
No MRMC study was performed or mentioned, as no clinical testing was required for this 510(k). The evaluation revolves around engineering verification and validation.
6. Standalone (Algorithm Only) Performance Study:
A standalone performance study, in the traditional sense of an algorithm, was not performed, nor is it applicable to this device. This is a medical device (anesthesia machine) with hardware and software, not an AI/algorithm-only product. The non-clinical testing, including software validation, serves as the "standalone" evaluation of the device's functional and safety performance.
7. Type of Ground Truth Used (for any testing):
For the non-clinical testing mentioned, the "ground truth" would be established by:
- Engineering specifications and design requirements.
- The requirements and performance benchmarks set by the listed national and international standards (e.g., UL, EN, IEC, ASTM, ISO).
- The established performance characteristics of the predicate devices.
8. Sample Size for the Training Set:
Not applicable. This device is an anesthesia machine, not an AI model that requires a training set in the machine learning sense. The "training" for such a device effectively comes from its design, development, and adherence to established engineering principles and standards.
9. How the Ground Truth for the Training Set Was Established:
Not applicable. There is no training set in the context of machine learning for this device. The "ground truth" for its development is based on medical device design principles, safety standards, and functional requirements for anesthesia delivery and ventilation.
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