2021 ISHNE/HRS/EHRA/APHRS collaborative statement on mHealth in Arrhythmia Management: Digital Medical Tools for Heart Rhythm Professionals: From the International Society for Holter and Noninvasive Electrocardiology/Heart Rhythm Society/European Heart Rhythm Association/Asia Pacific Heart Rhythm Society

Mostrar otras versiones (3)

This collaborative statement from the International Society for Holter and Noninvasive Electrocardiology/Heart Rhythm Society/European Heart Rhythm Association/Asia Pacific Heart Rhythm Society describes the current status of mobile health (“mHealth”) technologies in arrhythmia management. The range...

Descripción completa

Detalles Bibliográficos
Autores principales: Varma, Niraj, Cygankiewicz, Iwona, Turakhia, Mintu, Heidbuchel, Hein, Hu, Yufeng, Chen, Lin Yee, Couderc, Jean‐Philippe, Cronin, Edmond M., Estep, Jerry D., Grieten, Lars, Lane, Deirdre A., Mehra, Reena, Page, Alex, Passman, Rod, Piccini, Jonathan, Piotrowicz, Ewa, Piotrowicz, Ryszard, Platonov, Pyotr G., Ribeiro, Antonio Luiz, Rich, Robert E., Russo, Andrea M., Slotwiner, David, Steinberg, Jonathan S., Svennberg, Emma
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Guidelines
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8022003/
https://www.ncbi.nlm.nih.gov/pubmed/33850572
http://dx.doi.org/10.1002/joa3.12461
Descripción
Sumario:This collaborative statement from the International Society for Holter and Noninvasive Electrocardiology/Heart Rhythm Society/European Heart Rhythm Association/Asia Pacific Heart Rhythm Society describes the current status of mobile health (“mHealth”) technologies in arrhythmia management. The range of digital medical tools and heart rhythm disorders that they may be applied to and clinical decisions that may be enabled are discussed. The facilitation of comorbidity and lifestyle management (increasingly recognized to play a role in heart rhythm disorders) and patient self‐management are novel aspects of mHealth. The promises of predictive analytics but also operational challenges in embedding mHealth into routine clinical care are explored.

Ejemplares similares