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Review
. 2021 Feb;14(2):e009204.
doi: 10.1161/CIRCEP.120.009204. Epub 2021 Feb 12.

2021 ISHNE/HRS/EHRA/APHRS Expert 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

Affiliations
Review

2021 ISHNE/HRS/EHRA/APHRS Expert 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

Niraj Varma et al. Circ Arrhythm Electrophysiol. 2021 Feb.

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 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 mobile health. The promises of predictive analytics but also operational challenges in embedding mobile health into routine clinical care are explored.

Keywords: arrhythmias; atrial fibrillation; comorbidities; digital medicine; heart rhythm; mHealth.

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Conflict of interest statement

For Disclosures, see the Data Supplement.

Figures

Figure.
Figure.
mHealth tools for the individual. Sensors can be embedded in a variety of wearables. IoT indicates Internet of things—connects from any location to hospital or cloud; see Table 1.
Figure 1.
Figure 1.
Application of digital health technologies in arrhythmias (many of these sectors are interconnected).
Figure 2.
Figure 2.
Mobile health (mHealth) devices for arrhythmia monitoring according to indications. Traditional wearable monitors are used for defined, short periods of time. Advantages are continuous monitoring and the ability to use multiple leads, which may be important for arrhythmia differentiation. These have been used historically for evaluation of palpitations, syncope, and defining QRS morphology. mHealth extends monitoring time indefinitely, to be defined by the user, and to the possibility of monitoring other parameters simultaneously with the ECG, and linking to machine learning. Typically, mHealth utilizes single-channel ECG or derived heart rate (HR) and discontinuous monitoring. AF indicates atrial fibrillation; BP, blood pressure; BrS, Brugada pattern; HF, heart failure; ILR, implantable loop recorder; and LQT, long QT.
Figure 3.
Figure 3.
ECG mobile applications. Left, Fingertip recordings. Right, Card pressed to the chest.
Figure 4.
Figure 4.
Apple watch.
Figure 5.
Figure 5.
Mobile health and atrial fibrillation (AF). Applications include screening for AF in general or high-risk populations, managing comorbidities and lifestyles important for prevention and control (see Section 4), as well as managing treatment of known AF. DM indicates diabetes; ESUS, embolic stroke of unknown source; HTN, hypertension; and NSR, normal sinus rhythm.
Figure 6.
Figure 6.
Digital applications can integrate patient-relayed information of sensor and clinical information with automatic remote analysis but also permit patients to receive advice and treatment adjustments from physicians directly.
Figure 7.
Figure 7.
Connectivity and questions. Multiple levels of cooperation among a variety of stakeholders are needed to capitalize fully on the vast potential of mobile health (mHealth), but many questions remain unanswered. Healthy consumers (increasing) predominate among mHealth users. Only a minority of patients are prescribed these digital tools. Potential health benefits of mHealth may be realized when manufacturer participates with clinic for validation in defined disease states. Parties responsible for data control, and thereby predictive analytics, need to be defined. Ultimately, the payor and physician need to be convinced of benefits before digital tools are firmly embedded in clinical practice.

References

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Appendix References

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