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510(k) Data Aggregation

    K Number
    K233253
    Device Name
    eCARTv5 Clinical Deterioration Suite (“eCART”)
    Manufacturer
    AgileMD, Inc.
    Date Cleared
    2024-06-21

    (267 days)

    Product Code
    QNL, ONL
    Regulation Number
    870.2210
    Why did this record match?
    Applicant Name (Manufacturer) :

    AgileMD, Inc.

    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP Authorized
    Intended Use
    eCART is a software product that provides automated risk stratification and early warning for impending patient deterioration, signified as the composite outcome of death or ICU transfer. It is intended to be used on hospitalized ward patients 18 years of age or older by trained medical professionals. As a clinical decision support device, eCART's risk score and trend analysis is intended to aid clinical teams in identifying which patients are most likely to clinically deteriorate. eCART provides additional information and does not replace the standard of care or clinical judgment. eCART scoring is initiated by the documentation of any vital sign on an adult ward patient. The device calculates risk only from validated EHR data, such as vitals that have been confirmed by a registered nurse (RN); unvalidated data streaming from monitors/devices will not be used until confirmed by a healthcare professional. The product predictions are for reference only and no therapeutic decisions should be made based solely on the eCART scores.
    Device Description
    The AgileMD eCARTv5 Clinical Deterioration Suite ("eCART") is a cloud-based software device that is integrated into the electronic health record ("EHR") in order to anticipate clinical deterioration in adult ward patients, which is signified as either of the following two predicted outcomes: (1) death or (2) ICU transfer. The tool synthesizes routine vital signs, laboratory data, and patient demographics into a single value that can be used to flag patients at-risk of the composite outcome of clinical deterioration for additional evaluation and monitoring. eCARTv5 requires the healthcare system within which it will be used, to provide an EHR connection and data interfaces through which the patient data necessary to run the software will be transmitted. The primary functions of the system are imparted by the Gradient Boosted Machine ("GBM") learning algorithm that takes input directly from the EHR, in real time, to provide an assessment of patients and displays its outputs in an intuitive user interface which drives providers to follow standardized clinical workflows (established by their institutions) for elevated-risk patients. eCARTv5's end users include med-surg nursing staff, physicians and other providers caring for these patients. The eCARTv5 composite score is determined from the model output (predicted probability of deterioration) scaled from 0-100, based on the specificity (true negative rate). The observed rate of deterioration at each eCART score threshold, displayed as the odds of deterioration in the next 24 hours, is presented to the user along with the scaled score. Default thresholds are set to an eCART of 93 and 97, respectively, for moderate and high risk categorization.
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