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510(k) Data Aggregation

    K Number
    K130360
    Manufacturer
    Date Cleared
    2013-07-15

    (152 days)

    Product Code
    Regulation Number
    870.2910
    Reference & Predicate Devices
    Why did this record match?
    Device Name :

    CONSTANT CARE LILAH HOME HEALTH MONITORING SYSTEM - MULTI-USER VERSION

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

    The Constant Care LILAH Home Health Monitoring System is a non-emergency, delayed, remote patient monitoring device available by prescription. The Constant Care LILAH Home Health Monitoring System is designed to be used in the home of a patient or healthcare setting to provide remote monitoring for maintenance of chronic disease. The Constant Care LILAH Home Health Monitoring System provides guidance in operating medical sensor devices, reminders for medication compliance and connectivity to healthcare professionals through text messaging and realtime video conferencing technology.

    The Constant Care LILAH Home Health Monitoring System connects to commercially available wireless and wired medical devices such as glucose meters, weight scales, blood pressure monitors, electronic thermometers, peak-flow meters and pulse oximeters. The Constant Care LILAH Home Health Monitoring System stores and displays the information on a computer screen and transmits the information to the Caretaker Portal secure host server using connectivity including, but not limited to, FCC approved Wi-Fi, Cellular Wireless, Internet, or Ethernet.

    Healthcare professionals and remote caregivers can review the transmitted information unilizing the Caretaker Portal and set thresholds to trigger non-emergency alerts based on specific thresholds being exceeded.

    The Constant Care LILAH Home Health Monitoring System is not intended for diagnosis or as a substitute for medical care, and it is not intended to provide real time data. The data is made available to the patients when timecritical care is not required. The device is contraindicated for patients requiring direct medical supervision or emergency intervention. The system is intended for patients who are willing and capable of managing its use, Judgment and experience by a caregiver or by a family member are required to check and interpret the information delivered.

    Device Description

    The Constant Care LILAH Home Health Monitoring System - Multi-User Version is a software device consisting of two components: patient-side software to be installed on hardware compatible with an Asus EeeTop PC ET1611PUT 15.6 inch TouchScreen Atom D425 All-in-One PC, or an Acer ICONIA Tab W500-C52G03iss 10.1' LED Tablet PC for use in performing patient monitoring, and sending data to the Caretaker Portal secure host server; and caregiver-side software for receiving patient-side data and transmitting that data to healthcare professionals and remote caregivers through the Caretaker Portal secure host server.

    The patient-side software component is offered in two different versions. The single-user version, designated as "LILAH Version 1.1," is designed to be used by one individual, and is streamlined for simplicity of use. The multi-user version, designated as "LILAH Multi-User," allows for multiple individuals to be monitored through a single application. Changes covered by this clearance are applicable to both the LILAH Multi-User and LILAH Version 1.1 versions of the patient-side software component.

    The Constant Care LILAH Home Health Monitoring System - Multi-User Version is a remote patient monitoring device available with or without prescription designed to be used in the home or healthcare setting of patients undergoing remote monitoring for maintenance of chronic disease. The Constant Care LILAH Home Health Monitoring System - Multi-User Version can be used to monitor and track a single patient or multiple patients. The Constant Care LILAH Home Health Monitoring System - Multi-User Version provides guidance in operating medical sensor devices, reminders for medication compliance and connectivity to healthcare professionals through text messaging and real-time video conferencing technology.

    AI/ML Overview

    Here's an analysis of the provided text regarding the Constant Care LILAH Home Health Monitoring System:

    This 510(k) summary does not contain the information requested about acceptance criteria and a study proving the device meets them.

    The document is a 510(k) submission, which is a premarket notification for medical devices. The primary purpose of a 510(k) is to demonstrate substantial equivalence to a legally marketed predicate device, not necessarily to provide detailed performance study results against specific acceptance criteria.

    The key statement regarding performance is: "Results of software validation and verification activities establish the device as safe and effective for its intended use, which is comparable to other predicate devices." This is a general statement and does not provide specifics about the studies or acceptance criteria.

    Therefore, most of the requested information cannot be extracted from this document. Here's a breakdown of what can be inferred or is explicitly stated:


    1. Table of Acceptance Criteria and Reported Device Performance

    Not available in this document. The document states that "software validation and verification activities establish the device as safe and effective," but it does not specify acceptance criteria or report specific performance metrics from those activities.

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

    Not available in this document. No details about a specific test set, its size, or data provenance (e.g., country of origin, retrospective/prospective) are provided.

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

    Not available in this document. Since no specific test set or ground truth establishment is described, this information is not present.

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

    Not available in this document. No information on adjudication methods for a test set is provided.

    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 available in this document. The Constant Care LILAH system is a remote patient monitoring system that provides data, reminders, and communication tools. It is not an AI-driven diagnostic or interpretative tool that would typically involve human "readers" improving performance with AI assistance in the way a MRMC study would measure for imaging or pathology. The document does not describe any such study.

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

    Not available in this document. The device is described as a system integrating patient data, providing guidance, and connecting to healthcare professionals. Its function isn't primarily a standalone algorithmic interpretation in the way, for example, an AI-powered diagnostic algorithm would be evaluated. The "software validation and verification activities" likely focused on the software's functionality, data integrity, and compliance with its intended use, rather than a standalone performance metric against a ground truth.

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

    Not available in this document. No specific ground truth type is mentioned as no detailed performance study is described. The "validation and verification activities" would typically involve testing the system's functions (e.g., data transmission, alarm triggering, user interface functionality) against design specifications and user requirements.

    8. The sample size for the training set

    Not applicable/Not available in this document. This device is a software system for monitoring, not a machine learning or AI model that requires a "training set" in the conventional sense of supervised learning. Its "training" would be its software development and testing phases.

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

    Not applicable/Not available in this document. As with point 8, the concept of a "training set ground truth" is not relevant for this type of device based on the information provided.


    In summary: The provided 510(k) summary focuses on demonstrating substantial equivalence to a predicate device and broadly states that "software validation and verification activities establish the device as safe and effective." It does not delve into the detailed performance studies, acceptance criteria, sample sizes, ground truth establishment, or expert evaluations that would be expected for a device with an AI/ML component performing diagnostic or interpretative tasks.

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    K Number
    K120941
    Manufacturer
    Date Cleared
    2012-07-03

    (96 days)

    Product Code
    Regulation Number
    870.2910
    Reference & Predicate Devices
    Why did this record match?
    Device Name :

    CONSTANT CARE LILAH HOME HEALTH MONITORING SYSTEM

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

    The Constant Care LILAH Home Health Monitoring System is a non-emergency, delayed, remote patient monitoring device available by prescription. The Constant Care LILAH Home Health Monitoring System is designed to be used in the home of a patient or healthcare setting to provide remote monitoring for maintenance of chronic disease. The Constant Care LILAH Home Health Monitoring System provides guidance in operating medical sensor devices: reminders for medication compliance and connectivity to healthcare professionals through text messaging and realtime video conferencing technology.

    The Constant Care LILAH Home Health Monitoring System connectally available wireless and wired glucose meters, weight scales, blood pressure monitors, medication reminders, and pulse oximeters. The Constant Care LILAH Home Health Monitoring System stores and displays the information on a computer screen and transmits the information to the Caretaker Portal secure host server using connectivity including, but not limited to, FCC approved Wi-Fi, Cellular Wireless, Internet, or Ethernet.

    Healthcare professionals and remote caregivers can review the transmitted information utilizing the Caretaker Portal and set thresholds to trigger non-emergency alerts based on specific thresholds being exceeded.

    The Constant Care LILAH Home Health: Monitoring System is not intended for diagnosis or as a substitute for medical care, and it is not intended to provide real, time data: The data is made available to the patients when timecritical care is not required. The device is contraindicated for patients requiring direct medical or emergency intervention. The system is intended for patients who are willing and capable of managing its use. Judgment and experience by a caregiver or by a family member are required to check and interpret the information delivered.

    A list of devices that are compatible with the Constant Care LILAH Home Health Monitoring System will be available in the user's manual and the Constant Care website.

    Device Description

    The Constant Care LILAH Home Health Monitoring System consists of two components: patient-side software to be installed on either an Asus EeeTop PC ET1611PUT 15.6 inch TouchScreen Atom D425 All-in-One PC, or an Acer ICONIA Tab W500-C52G03iss 10.1' LED Tablet PC for use in performing remote patient monitoring, and sending data to the Caretaker Portal secure host server; and caregiver-side software for receiving patient-side data and transmitting that data to healthcare professionals and remote caregivers through the Caretaker Portal secure host server.

    AI/ML Overview

    The provided text is a 510(k) summary for the Constant Care LILAH Home Health Monitoring System. It describes the device, its intended use, and its substantial equivalence to a predicate device. However, it does not contain information about specific acceptance criteria or a study that details device performance against such criteria.

    The text states: "Results of software validation and verification activities establish the device as safe and effective for its intended use, which is comparable to other predicate devices." This is a general statement about meeting regulatory requirements for safety and effectiveness, but it doesn't provide the detailed performance metrics, study design, or ground truth information typically associated with acceptance criteria tables and clinical or performance studies.

    Therefore, I cannot answer most of your questions based on the provided text.

    Here is a summary of what can be extracted or inferred:

    1. A table of acceptance criteria and the reported device performance: Not provided in the text.
    2. Sample sized used for the test set and the data provenance (e.g. country of origin of the data, retrospective or prospective): Not provided in the text.
    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 provided in the text.
    4. Adjudication method (e.g. 2+1, 3+1, none) for the test set: Not provided in the text.
    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 provided in the text. This type of study is more common for diagnostic AI tools, whereas this device is for remote monitoring.
    6. If a standalone (i.e. algorithm only without human-in-the-loop performance) was done: The document mentions "software validation and verification activities," which implies testing of the algorithm/software, but it does not detail a standalone performance study in a way that would allow for specific performance metrics to be extracted.
    7. The type of ground truth used (expert concensus, pathology, outcomes data, etc): Not provided in the text.
    8. The sample size for the training set: Not provided in the text.
    9. How the ground truth for the training set was established: Not provided in the text.
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    K Number
    K010029
    Manufacturer
    Date Cleared
    2001-06-29

    (177 days)

    Product Code
    Regulation Number
    870.1130
    Reference & Predicate Devices
    N/A
    Why did this record match?
    Device Name :

    HOME HEALTH MONITORING SYSTEM

    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use
    Device Description
    AI/ML Overview
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    K Number
    K983928
    Date Cleared
    2000-02-11

    (463 days)

    Product Code
    Regulation Number
    870.2300
    Reference & Predicate Devices
    N/A
    Why did this record match?
    Device Name :

    KODAK HOME HEALTH MONITORING SYSTEM

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

    The Home Health Monitoring System is intended for use as a monitoring device, whereby a health care professional can view and communicate with the patient between offices visits to collect readings of patient blood pressure, the manage, pulse, temperature, and listen to sounds emanating from the bowel, heart and lungs.

    The system is contraindicated for two populations. Patient's and/or caregivers that are physically unable to use this device. Patients' and/or caregivers who's cognitive and or language skills are impaired to such an extent as to preclude communication with medical personnel or effectively operate the device

    This device should not be used for continuos monitoring.

    Device Description

    Not Found

    AI/ML Overview

    The provided document is a 510(k) clearance letter from the FDA for the Kodak LifeView Telemonitoring System. It does not contain information regarding detailed acceptance criteria, device performance studies, sample sizes for testing or training sets, expert qualifications, or ground truth establishment methods typically found in clinical study reports or pre-market approval applications.

    Therefore, I cannot provide the requested information based on the input text. The letter primarily confirms that the device is substantially equivalent to a legally marketed predicate device and outlines regulatory obligations.

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    K Number
    K960337
    Date Cleared
    1996-09-24

    (244 days)

    Product Code
    Regulation Number
    862.1345
    Reference & Predicate Devices
    N/A
    Why did this record match?
    Device Name :

    AMD HOME HEALTH MONITORING SYSTEM

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

    In vitro diagnostic use for the quantitative measurement of glucose in fresh capillary whole blood

    Device Description

    The AMD Home Health Monitoring System consists of the home-use, blood glucose meter, the AMD Home Health Glucose Monitor, with accessories, and the companion physician's monitoring device, the AMD PC Monitoring Station. The AMD Home Health Glucose Monitor contains the glucose measurement technology of the MediSense Pen 2 device. MediSense Companion 2 Test Strips and Control Solutions are to be used with the AMD Home Health Glucose Monitor. The AMD Home Health Glucose Monitor testing system has been developed to allow rapid measurement of blood glucose (D-glucose) by using an electrochemical detection technique. This biosensor system employs a disposable dry reagent strip technology, based on the glucose oxidase method for glucose determination. Each test strip features an electrode containing the enzyme glucose oxidase (Aspergillus niger). When a blood drop is applied to the target area of the test strip, the glucose oxidase catalyzes the oxidation of glucose in the drop to produce gluconic acid. During the reaction, electrons are transferred by way of an electrochemical mediator to the electrode surface. This in turn generates a current that is measured by the Home Health Glucose Monitor. The size of the current generated is proportional to the amount of glucose present in the blood drop, thus giving an accurate reading of the blood glucose concentration. The computer-controlled Home Health Glucose Monitor facilitates efficient blood glucose testing and has an internal modem for the transmission of glucose test results to the remote AMD PC Monitoring Station. The AMD PC Monitoring Station is a personal computer-based system used in the clinical setting (e.g., physician's office, nurse's station, etc.) to receive and process blood glucose test data transmitted by the Home Health Glucose Monitor. This device allows remote clinical review of test results obtained in the patient's home.

    AI/ML Overview

    The provided text is a 510(k) summary for the AMD Home Health Monitoring System, a self-monitoring blood glucose device. It details the device description, intended use, predicate devices, and a comparison chart. However, it does not contain information about acceptance criteria, specific study results, sample sizes, expert qualifications, or ground truth establishment relevant to the requested questions. The document focuses on demonstrating substantial equivalence to predicate devices based on design and operational characteristics, not on presenting performance study data against pre-defined acceptance criteria.

    Therefore, I cannot fulfill the request to describe the acceptance criteria and the study that proves the device meets the acceptance criteria using only the provided text, as this information is absent.

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