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Traykov, V; Puererfellner, H; Burri, H; Foldesi, CL; Scherr, D; Duncker, D; Arbelo, E; Botto, GL; Boriani, G; Heidbuchel, H; Malaczynska-Rajpold, K; Farkowski, MM; Dagres, N; Szymanski, P; Huculeci, R; Casado-Arroyo, R; Boveda, S; Merino, JL.
EHRA perspective on the digital data revolution in arrhythmia management: insights from the association's annual summit.
Europace. 2025; 27(8): Doi: 10.1093/europace/euaf149 [OPEN ACCESS]
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Co-authors Med Uni Graz: Scherr Daniel
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Abstract:: The 2024 European Heart Rhythm Association (EHRA) Summit in Warsaw focused on the digital transformation of arrhythmia management, convening over 130 stakeholders from academia, industry, and policy. This review summarises the current state (in 2025) and future directions of digital health in arrhythmia care, including remote monitoring (RM) of cardiac implantable electronic devices (CIEDs), mobile health (mHealth), artificial intelligence (AI), and integration into the European Health Data Space (EHDS). RM has become central to CIED follow-up, improving outcomes and reducing healthcare use. However, challenges in reimbursement, workforce adaptation, and data interoperability persist. The absence of standardised data exchange between device vendors and healthcare systems has led to initiatives like the World Forum on CIED follow-up to develop interoperability standards. mHealth tools, including apps and wearable devices, offer accurate arrhythmia detection but face regulatory, digital literacy, and privacy barriers. The EHDS aims to enable cross-border data sharing for personalised care and real-world research, though implementation must address ethical, legal, and infrastructural issues. AI shows promise in prediction, monitoring, and data integration, but lacks standardised, transparent validation. The ESC-EHRA Atlas in Heart Rhythm Disorders supports structured data collection to harmonize and benchmark care across Europe. Overall, digital innovations, if coupled with regulatory alignment, interoperability standards, and equitable access, have the potential to shift arrhythmia management toward a more predictive, personalized, and efficient model of care.
Find related publications in this database (Keywords): Arrhythmia; Digital health; Remote monitoring; CIEDs; Artificial intelligence; mHealth; European Health Data Space; EHRA; Interoperability; Health data integration