Cardiovascular

Feasibility of Mobile Single-Lead Electrocardiogram Screening for Atrial Fibrillation: Multicenter Cross-Sectional Study.

TL;DR

Mobile single-lead ECG screening is feasible in routine inpatient and outpatient settings and identified a substantial prevalence of AF, which increased with age, though the absence of systematic confirmatory ECG testing and limited patient engagement with telemedicine applications highlight challenges in real-world implementation.

Key Findings

The mobile single-lead ECG device (AliveCor KardiaMobile) successfully provided an automated interpretation in 95.3% of outpatients and 85.6% of inpatients.

  • Outpatient automated interpretation rate: 95.3% (41/43 patients)
  • Inpatient automated interpretation rate: 85.6% (166/194 patients)
  • The device is FDA-approved and uses a 30-second single-lead ECG recording
  • The study enrolled a total of 237 patients across 3 university hospitals and 3 primary care practices

The device algorithm detected AF in 21.5% of the overall study cohort.

  • Overall automated detection of AF: 21.5% (51/237 patients)
  • AF detection included both patients with prior AF diagnoses and newly suspected cases
  • AF prevalence increased with age in this cohort
  • The high detection rate underscores the potential of wearable ECG devices to facilitate early detection of AF

Newly suspected AF was identified in 1.7% of patients without a prior AF diagnosis.

  • 4 out of 237 patients received an automated reading of 'Possible AF' with no prior AF diagnosis
  • Only 1 of these 4 patients underwent same-day confirmatory 12-lead ECG, which confirmed AF
  • The absence of systematic confirmatory ECG testing was identified as a key challenge in real-world implementation
  • Patients with an automated 'Possible AF' reading and no prior AF diagnosis were intended to undergo confirmatory 12-lead ECG per study protocol

Technical challenges occurred in 16.0% of all recordings, with a numerically higher rate in the inpatient setting compared to outpatients.

  • Overall technical challenge rate: 16.0% (38/237 recordings)
  • Inpatient technical challenge rate: 17.5% (34/194)
  • Outpatient technical challenge rate: 9.3% (4/43)
  • The difference between inpatient and outpatient technical challenge rates did not reach statistical significance (P=.25)

Patient engagement with telemedicine applications was very low, with only 6.3% of patients reporting regular use.

  • Only 6.3% (15/237) of patients reported regular use of telemedicine applications
  • Patient awareness and acceptance were evaluated using an exploratory, descriptive questionnaire
  • Limited patient engagement with telemedicine was identified as a significant challenge for real-world implementation
  • Patient acceptance was one of the primary feasibility outcomes evaluated in the study

This was a multicenter, cross-sectional pragmatic implementation study enrolling both inpatients and outpatients across diverse healthcare settings.

  • Total enrollment: 237 patients (194 inpatients and 43 outpatients)
  • Settings included 3 university hospitals and 3 primary care practices
  • Feasibility was evaluated by the proportion of successfully completed recordings, patient acceptance, and occurrence and characteristics of technical challenges
  • The study design was pragmatic, reflecting real-world deployment conditions rather than controlled trial conditions

What This Means

This research examined whether a small, handheld heart rhythm device (AliveCor KardiaMobile) could realistically be used to screen patients for atrial fibrillation (AF) — an irregular heart rhythm that greatly increases the risk of stroke — in everyday hospital and clinic settings. The study enrolled 237 patients across six sites, including both hospital inpatients and outpatient clinic visitors. The device successfully produced an automated reading in the vast majority of patients (about 86% of inpatients and 95% of outpatients), and detected AF signals in about 1 in 5 patients overall. Importantly, it flagged 4 patients who had no previous AF diagnosis as possibly having the condition, and in one case that was confirmed the same day with a standard 12-lead ECG. The study also found meaningful practical challenges. Technical difficulties occurred in about 1 in 6 recordings, and were somewhat more common among hospitalized patients. The follow-up process broke down significantly — only 1 of the 4 newly suspected AF patients actually received the recommended confirmatory test on the same day. Additionally, very few patients (only about 6%) regularly used any telemedicine tools, suggesting that integrating mobile health technology into routine care may face adoption barriers among patients. This research suggests that mobile single-lead ECG devices can work in real-world clinical settings and may help catch undiagnosed atrial fibrillation, particularly in older patients. However, the findings also highlight that deploying these tools effectively requires more than just the technology itself — reliable follow-up protocols and strategies to improve patient and provider engagement with digital health tools are needed to translate screening into confirmed diagnoses and treatment.

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Citation

Fenske R, Rossa D, Butter C, Muehlensiepen F, Nübel J, Meretz D, et al.. (2026). Feasibility of Mobile Single-Lead Electrocardiogram Screening for Atrial Fibrillation: Multicenter Cross-Sectional Study.. JMIR cardio. https://doi.org/10.2196/92799