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Digital Health, An Issue of Heart Failure Clinics
- 1st Edition, Volume 18-2 - March 31, 2022
- Editors: Ragavendra R. Baliga, Dipti Itchhaporia
- Language: English
- Hardback ISBN:9 7 8 - 0 - 3 2 3 - 9 2 0 1 9 - 3
- eBook ISBN:9 7 8 - 0 - 3 2 3 - 9 2 0 2 0 - 9
In this issue of Heart Failure Clinics, guest editors Drs. Ragavendra R. Baliga and Dipti Itchhaporia bring their considera… Read more
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Request a sales quoteIn this issue of Heart Failure Clinics, guest editors Drs. Ragavendra R. Baliga and Dipti Itchhaporia bring their considerable expertise to the topic of Digital Health, sometimes referred to as eHealth. Top experts in the field cover key topics in the field such as using AI to better predict/develop biomarkers; telehealth in heart failure; EHR in heart failure; artificial intelligence and mechanical circulatory support; and more.
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Contains 11 relevant, practice-oriented topics including devices to improve symptoms and reduce morbidity and mortality in heart failure; utilizing artificial intelligence to enhance equity in minority populations; 3-D printing in heart failure; machine learning in cardiac imaging; and more.
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Provides in-depth clinical reviews on digital health, offering actionable insights for clinical practice.
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Presents the latest information on this timely, focused topic under the leadership of experienced editors in the field. Authors synthesize and distill the latest research and practice guidelines to create clinically significant, topic-based reviews.
- Cover image
- Title page
- Table of Contents
- Copyright
- Contributors
- Forthcoming Issues
- Preface
- Electronic Health Records and Heart Failure
- Key points
- Introduction
- Background
- Tools
- Applications
- Outcomes
- Summary
- Telehealth in Heart Failure
- Key points
- Introduction
- Summary
- Clinics care points
- Framework for Digital Health Phenotypes in Heart Failure: From Wearable Devices to New Sensor Technologies
- Key points
- The digital transformation of heart failure
- The hypothesis of benefit with wearable and digital health devices in heart failure
- Digital health— patient codesigns and participatory models of heart failure care
- First-order digital phenotype—app-based patient-generated health data and patient-reported outcomes
- Second-order digital phenotype—digital device biometric monitoring
- Third-order digital phenotype—implantable sensors for physiologic monitoring
- Fourth-order digital phenotype—substrate detection
- Integration approaches for wearable and digital health devices within population health
- The future of wearable and digital health technologies in heart failure
- Clinics care points
- ICMJE statement of authorship
- Machine Learning in Cardiovascular Imaging
- Key points
- Introduction
- ML for imaging automation and interpretation
- Phenotyping and risk stratification
- ML in specific areas of CV imaging
- Emerging ML-based techniques for the analysis of radiological images
- Concerns and barriers to clinical application of ML
- Summary
- Clinics care points
- Utilizing Artificial Intelligence to Enhance Health Equity Among Patients with Heart Failure
- Key points
- Introduction
- Definitions
- Current use
- Health disparities and artificial intelligence in HF care
- Potential harms of artificial intelligence in HF care
- Recommendations and future directions
- Summary
- Clinics care points
- Sources of funding
- Using Artificial Intelligence to Better Predict and Develop Biomarkers
- Key points
- Introduction
- Background
- The omics multiverse
- Approaches in proteomics for identification of biomarkers
- Statistical analysis of omics data
- Methodologic considerations
- Examples of studies
- Summary
- Clinics care points
- Advances in Machine Learning Approaches to Heart Failure with Preserved Ejection Fraction
- Key points
- Introduction
- The unmet need for better approaches to heart failure diagnosis and management
- Overview of machine learning techniques
- Types of machine learning approaches
- Case studies in machine learning
- Discussion
- Summary
- Disclosure
- Funding sources
- Clinics care points
- Supplementary data
- Artificial Intelligence and Mechanical Circulatory Support
- Key points
- History
- Relevance
- Machine learning techniques
- Clinical applications
- Limitations and ongoing advancement
- Incorporation into clinical practice
- Clinics care points
- Utilizing Conversational Artificial Intelligence, Voice, and Phonocardiography Analytics in Heart Failure Care
- Key points
- Introduction
- Digital voice experience, current state: CAI ecosystem
- Clinical application: voice augmented heart failure care delivery
- Voice-enabled innovation in heart failure care delivery
- Voice biomarkers and voice analytics
- PCG analytics in heart failure care
- Challenges in the adoption of voice technology, CAI, and PCG
- Future directions
- Summary
- Clinics care points
- Application of 3D Printing Technology in Heart Failure
- Key points
- Introduction
- 3D printed model creation
- Surgical planning
- Hypertrophic cardiomyopathy
- Ventricular assist device placement
- Transcatheter interventions
- Transcatheter aortic valve replacement
- Transcatheter mitral valve replacement
- Tricuspid valve intervention
- Transcatheter pulmonary valve replacement for congenital heart disease
- Tissue engineering/bioprinting
- Summary
- Clinics care points
- No. of pages: 240
- Language: English
- Edition: 1
- Volume: 18-2
- Published: March 31, 2022
- Imprint: Elsevier
- Hardback ISBN: 9780323920193
- eBook ISBN: 9780323920209
RB
Ragavendra R. Baliga
Affiliations and expertise
Inaugural Director, Cardio-Oncology Center of Excellence Professor of Internal Medicine The Ohio State University Wexner Medical CenterDI
Dipti Itchhaporia
Affiliations and expertise
Vice-President, American College of Cardiology, Eric & Sheila Samson Endowed Chair in Cardiovascular Health, Director of Disease Management Hoag Memorial Hospital Presbyterian, Newport Beach, CA
Associate ClinicalProfessor, University of California, Irvine Chair, ACC's Taskforce on Health Equity