2021 ISHNE / HRS / EHRA / APHRS Collaborative Statement on mHealth in Arrhythmia Management: Digital Medical Tools for Heart Rhythm Professionals

Author:

Varma Niraj1ORCID,Cygankiewicz Iwona2ORCID,Turakhia Mintu3,Heidbuchel Hein4,Hu Yufeng5,Chen Lin Yee6,Couderc Jean-Philippe7,Cronin Edmond M8,Estep Jerry D1,Grieten Lars9,Lane Deirdre A10,Mehra Reena1,Page Alex7ORCID,Passman Rod11,Piccini Jonathan12,Piotrowicz Ewa13,Piotrowicz Ryszard13,Platonov Pyotr G14,Ribeiro Antonio Luiz15ORCID,Rich Robert E1,Russo Andrea M16,Slotwiner David17,Steinberg Jonathan S7,Svennberg Emma18

Affiliation:

1. Cleveland Clinic, Cleveland, OH, USA

2. Medical University of Lodz, Lodz, Poland

3. Stanford University, Palo Alto, CA, USA

4. Antwerp University and University Hospital, Antwerp, Belgium

5. Taipei Veterans General Hospital, Taipei, Taiwan

6. University of Minnesota, Minneapolis, MN, USA

7. University of Rochester, Rochester, NY, USA

8. Temple University, Philadelphia, PA, USA

9. Hasselt University, Hasselt, Belgium

10. University of Liverpool, Liverpool, UK

11. Northwestern University Feinberg School of Medicine, Chicago, IL, USA

12. Duke University, Durham, NC, USA

13. National Institute of Cardiology, Warsaw, Poland

14. Lund University, Lund, Sweden

15. Faculdade de Medicina, Centro de Telessaúde, Hospital das Clínicas, and Departamento de Clínica Médica, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil

16. Cooper Medical School of Rowan University, Camden, NJ, USA

17. Cardiology Division, NewYork-Presbyterian Queens, and School of Health, Policy and Research, Weill Cornell Medicine, New York, NY, USA

18. Karolinska University Hospital, Stockholm, Sweden

Abstract

Abstract 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.

Publisher

Oxford University Press (OUP)

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