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Related Concept Videos

Heart Failure V: Medical Management01:30

Heart Failure V: Medical Management

17
Medical Management of Acute Decompensated Heart Failure (ADHF)The primary goals of therapy for patients hospitalized with acute decompensated heart failure (ADHF) include:Relieving symptomsOptimizing volume statusSupporting oxygenation and ventilationMaintaining cardiac output (CO) and end-organ perfusionIdentifying and addressing the cause of ADHFPreventing complicationsProviding patient education on factors precipitating HF exacerbationPlanning for dischargeOngoing monitoring and assessment...
17
Heart Failure VI: Adjunct Therapies01:22

Heart Failure VI: Adjunct Therapies

19
Additional therapies for treating patients with heart failure (HF) may include procedural interventions, supplemental oxygen, the management of sleep disorders, and nutritional therapy.Procedural InterventionsImplantable Cardioverter-Defibrillator: For patients at risk of life-threatening arrhythmias due to severe left ventricular dysfunction, an Implantable Cardioverter-Defibrillator (ICD) can detect and terminate these arrhythmias, preventing sudden cardiac death and improving survival rates.
19
Pulse rhythm01:30

Pulse rhythm

860
Pulse rhythm refers to the pattern of pulsations within specific intervals, offering valuable insights into the regularity or irregularity of the heart's beats as observed through the pattern of pulsation within specific intervals. A regular pulse exhibits a consistent heart rate with uniform waveforms and pulsation force, variations of which can be classified as normal, weak, or bounding.
Conversely, an irregular pulse pattern is termed dysrhythmia, stemming from disruptions in cardiac...
860
Health Information Technology and Healthcare Information System01:30

Health Information Technology and Healthcare Information System

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Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
883
Cardiac Output and Stroke Volume01:11

Cardiac Output and Stroke Volume

3.1K
Cardiac output (CO) is an integral aspect of human physiology, reflecting the heart's efficiency and responsiveness to the body's needs. It represents the volume of blood that the left or right ventricle ejects into the aorta or pulmonary trunk each minute. The CO is calculated by multiplying the heart rate (HR)—the number of heartbeats per minute—by the stroke volume (SV)—the amount of blood pumped out with each heartbeat.
In an average resting adult male, the typical cardiac...
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Related Experiment Video

Updated: Jul 31, 2025

Author Spotlight: Workflow for Integrating POCUS Data into EHR for Managing Heart Failure Patients
03:47

Author Spotlight: Workflow for Integrating POCUS Data into EHR for Managing Heart Failure Patients

Published on: July 12, 2024

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HeartLogic™: real-world data-efficiency, resource consumption, and workflow optimization.

Marco Valerio Mariani1, Carlo Lavalle1, Giovanni Battista Forleo2

  • 1Department of Clinical Internal, Anesthesiologic and Cardiovascular Sciences, Sapienza University of Rome, 00161 Rome, Italy.

European Heart Journal Supplements : Journal of the European Society of Cardiology
|May 1, 2023
PubMed
Summary

Early detection of heart failure (HF) decompensation is possible with the HeartLogic™ algorithm. This remote monitoring system predicts HF risk, enabling timely interventions and reducing hospitalizations.

Keywords:
Heart failureHeartLogic™ algorithmRemote monitoring

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Area of Science:

  • Cardiology
  • Medical Technology
  • Health Informatics

Background:

  • Heart failure (HF) presents a growing global health challenge, marked by acute decompensation episodes with poor prognoses.
  • HF management incurs significant patient, clinical, and healthcare resource burdens.
  • Early detection of incipient HF can facilitate outpatient treatment, preventing severe decompensation and reducing hospitalizations.

Purpose of the Study:

  • To review remote monitoring in HF patients.
  • To detail the HeartLogic™ algorithm's function, pathophysiological basis, and HeartLogic™ index.
  • To assess the HeartLogic™ index's efficiency, economic impact, and organizational implications in HF management.

Main Methods:

  • Review of general aspects of remote monitoring in HF.
  • Analysis of the HeartLogic™ algorithm's integration of HF pathophysiology data into the HeartLogic™ index.
  • Evaluation of alert-based vs. scheduled remote transmission systems.

Main Results:

  • The HeartLogic™ index effectively predicts incipient HF decompensation risk.
  • Remote management systems, particularly alert-based ones, show efficiency in caregiver workload and alert timing.
  • The HeartLogic™ algorithm enables timely resource redistribution from low-risk to high-risk HF patients.

Conclusions:

  • The HeartLogic™ algorithm offers a promising approach for proactive HF management.
  • Widespread adoption necessitates addressing logistical, financial, and workflow integration challenges.
  • Remote monitoring with the HeartLogic™ index can improve HF patient outcomes and healthcare efficiency.