A Multisensor Algorithm Predicts Heart Failure Events in Patients With Implanted Devices
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Dr. Boehmer et al. studied whether an algorithm combining a diverse set of implanted device-based sensors chosen to target heart failure pathophysiology could detect worsening heart failure.
Clinical and economic impact of HeartLogic™ compared with standard care in heart failure patients
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Dr. Treskes et al. investigated if activation of the HeartLogic algorithm reduces the number of hospital admissions for decompensated HF in a 1-year post-activation period as compared with a 1-year pre-activation period.
EDUCARE HeartLogic Heart Failure Diagnostic Training
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Find an interactive CE course, hands-on workbook, training videos, study guides and other educational tools to help you proactively manage signs and symptoms of worsening heart failure using HeartLogic.
HeartLogic Alert Management Guide
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Get tips to implement a three-step workflow for managing HeartLogic alerts, assess the context of the alert and take clinical action with this quick reference guide.
Results From the MultiSENSE Study
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This study evaluates whether the HeartLogic multisensor heart failure index and alert algorithm replaces or augments current heart failure risk stratification.
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