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Related Concept Videos

Heart Failure IV: Classification and Diagnostic Evaluation01:30

Heart Failure IV: Classification and Diagnostic Evaluation

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Heart failure can be classified in various ways, with the most common classifications based on physical activity limitations, disease progression, severity, and treatment strategies.The Functional Classification of Heart Failure divides patients into four categories based on physical activity limitation due to symptom burden.Class I: Patients in this class have cardiac disease but no physical activity limitations. Ordinary activities like walking, climbing stairs, or routine tasks do not cause...
300
Heart Failure V: Medical Management01:30

Heart Failure V: Medical Management

204
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...
204
Heart Failure VI: Adjunct Therapies01:22

Heart Failure VI: Adjunct Therapies

239
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.
239
Heart Failure VII: Nursing Interventions01:30

Heart Failure VII: Nursing Interventions

400
The first step in nursing management of a patient with heart failure involves thoroughly assessing the patient's medical history.Subjective Data: Obtain the patient's medical history of coronary artery disease, hypertension, myocardial infarction, and symptoms like dyspnea, orthopnea, and paroxysmal nocturnal dyspnea.Objective Data: Conduct a physical examination to identify findings such as jugular vein distention, pulmonary crackles, tachycardia, murmurs, peripheral edema, and vital signs,...
400
Cardiomyopathy V: Interprofessional Care01:29

Cardiomyopathy V: Interprofessional Care

316
Managing cardiomyopathy involves addressing underlying or precipitating causes, treating heart failure with medications, and implementing dietary changes and a balanced exercise and rest regimen.Lifestyle ModificationsCardiomyopathy patients should adopt a low-sodium diet to reduce fluid retention and manage heart failure. A personalized exercise and rest plan helps maintain physical fitness without overstraining the heart. Avoiding alcohol and tobacco is essential to prevent further damage to...
316
Heart Failure I: Introduction01:27

Heart Failure I: Introduction

671
Heart failure refers to a clinical syndrome caused by structural or functional cardiac disorders that prevent the heart from pumping an adequate amount of blood to meet the body's metabolic needs. This condition often arises from myocardial infarction or ischemia, leading to decreased cardiac output, reduced tissue perfusion, impaired gas exchange, fluid volume imbalance, and decreased functional ability.Heart failure can result from disruptions in the mechanisms that regulate cardiac output...
671

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Author Spotlight: Workflow for Integrating POCUS Data into EHR for Managing Heart Failure Patients
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ChatGPT Applications in Heart Failure: Patient Education, Readability Enhancement, and Clinical Utility.

Robert S Doyle1, Jack Hartnett1, Hugo C Temperley2,3

  • 1Cardiology Department, Mater Misericordiae University Hospital, Eccles St., D07 R2WY Dublin, Ireland.

Journal of Cardiovascular Development and Disease
|November 26, 2025
PubMed
Summary

ChatGPT shows promise for improving heart failure (HF) care by enhancing patient education and simplifying complex information. Further research is needed to validate its clinical impact and address potential biases.

Keywords:
ChatGPTartificial intelligenceheart failurelanguage modelspatient educationsystematic review

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Area of Science:

  • Artificial Intelligence in Medicine
  • Digital Health
  • Cardiology

Background:

  • Heart failure (HF) impacts over 64 million globally, causing significant morbidity and mortality.
  • Suboptimal adherence to guideline-directed therapies is linked to low health literacy and complex treatment plans.
  • Large language models like ChatGPT offer potential solutions for HF education and management.

Purpose of the Study:

  • To systematically review the applications of ChatGPT in heart failure care.
  • To evaluate ChatGPT's accuracy in patient education, question-answering, and clinical documentation.
  • To assess ChatGPT's effectiveness in improving health information readability and extracting clinical symptoms.

Main Methods:

  • A systematic review adhering to PRISMA guidelines was conducted.
  • Searches were performed on PubMed, Embase, and Cochrane databases up to July 2025.
  • Included studies focused on ChatGPT (3.5 or 4) in HF contexts; thematic synthesis was applied.

Main Results:

  • Seven observational studies were included, focusing on patient education, readability, and symptom extraction.
  • ChatGPT demonstrated accuracy ranging from 78-98% in patient education and question-answering.
  • Readability was improved to 6th-7th grade levels, and symptom extraction achieved up to 95% F1 score.

Conclusions:

  • ChatGPT shows significant potential for enhancing heart failure patient education and clinical documentation.
  • The technology demonstrated improved readability and accurate symptom extraction.
  • Further randomized controlled trials are necessary to validate clinical outcomes and mitigate potential biases.