Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/46191
Title: Telecardiology unleashed: probing the depths of effectiveness in remote monitoring and telemedicine applications for acute cardiac conditions
Authors: DE WEVER, Michiel 
GRUWEZ, Henri 
DHONT, Sebastiaan 
PISON, Laurent 
VANDERVOORT, Pieter 
HAEMERS , Peter
Issue Date: 2025
Publisher: OXFORD UNIV PRESS
Source: European Heart Journal. Acute Cardiovascular Care, 14 (5) , p. 295 -303
Abstract: Telecardiology has emerged as a promising approach in acute cardiac care through advancements in digital health technologies. This review explores the current evidence of telemedicine applications in acute coronary syndrome, arrhythmias, and acute heart failure. Telecardiology strategies are already implemented in clinical practice today. Examples such as pre-hospital electrocardiogram transmission and remote monitoring using non-invasive and invasive devices have shown to enhance diagnostic accuracy, reduce treatment delays, and improve outcomes. However, despite multiple meta-analyses, the effectiveness of telecardiology remains uncertain due to heterogeneity in study designs and lack of high-quality randomized controlled trials. Increasingly, the integration of artificial intelligence offers unprecedented opportunities for diagnostic precision, predictive analytics, and personalized care yet requires rigorous validation and ethical considerations. This article underscores the pivotal role of the cardiologist in bridging the gaps between technology and clinical practice by providing an evidence-based scaffold on telecardiology effectiveness and clinical implementation. [GRAPHICS]
Notes: Pison, L (corresponding author), Hasselt Univ, Fac Med & Life Sci, Limburg Clin Res Ctr LCRC, Agoralaan, B-3590 Diepenbeek, Belgium.; Pison, L (corresponding author), Ziekenhuis Oost Limburg, Dept Cardiol, Synaps Pk 1, B-3600 Genk, Belgium.
laurent.pison@zol.be
Keywords: Telemedicine;Telecardiology;Remote monitoring;Digital health;Acute cardiac care;Artificial intelligence
Document URI: http://hdl.handle.net/1942/46191
ISSN: 2048-8726
e-ISSN: 2048-8734
DOI: 10.1093/ehjacc/zuaf060
ISI #: 001489514200005
Rights: The Author(s) 2025. Published by Oxford University Press on behalf of the European Society of Cardiology. All rights reserved. For commercial re-use, please contact reprints@oup.com for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact journals.permissions@oup.com.
Category: A1
Type: Journal Contribution
Appears in Collections:Research publications

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