Emerging Technologies for Identifying Atrial Fibrillation
Year: 2020
Type: review
Abstract: Atrial fibrillation (AF) is a major cause of morbidity and mortality globally, and much of this is driven by challenges in its timely diagnosis and treatment. Existing and emerging mobile technologies have been used to successfully identify AF in a variety of clinical and community settings, and while these technologies offer great promise for revolutionizing AF detection and screening, several major barriers may impede their effectiveness. The unclear clinical significance of device-detected AF, potential challenges in integrating patient-generated data into existing healthcare systems and clinical workflows, harm resulting from potential false positives, and identifying the appropriate scope of population-based screening efforts are all potential concerns that warrant further investigation. It is crucial for stakeholders such as healthcare providers, researchers, funding agencies, insurers, and engineers to actively work together in fulfilling the tremendous potential of mobile technologies to improve AF identification and management on a population level.
Source: Circulation Research
Language: English
Subfield: Cardiology and Cardiovascular Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Awards: Automated detection and prediction of atrial fibrillation during sepsis, Detecting bleeding events using EHRs for prediction in Afib, Community Surveillance of Coronary Heart Disease, Systematic Assessment of Geriatric Elements in Atrial Fibrillation (SAGE-AF), Feasibility of Smartwatches for Atrial Fibrillation Detection in Older Adults, Smartwatch Monitoring for Atrial Fibrillation After Stroke, RURAL: Risk Underlying Rural Areas Longitudinal Cohort Study, The Center for Advancing Point of Care in Heart, Lung, Blood and Sleep Diseases, Digital Interventions to Study and Influence the Alcohol-Atrial Fibrillation Connection, Transdisciplinary Training In Cardiovascular Research
OpenAlex ID: W3036869022
