Uninterrupted, Comprehensive EKG Interpretation

Avoid critical knowledge gaps from interrupted data. Zio XT gives you the assurance of uninterrupted data from start to finish. Simply choose the best time frame for your patient and use our comprehensive report to make a confident diagnosis.

Flexible Time Frame

Tailor monitoring time up to 14 days based on your individual patient's symptoms. Collect all the data you need in a single monitoring period.

Patient Friendly Design

The Zio patch facilitates high patient compliance. No maintenance or special attention is required. Your patient can even shower, sleep and exercise while wearing Zio.

Assured Clinical Accuracy

99% median analyzable time1 helps ensure you don't miss critical insights. Interpret up to 14 days of uninterrupted data for greater arrhythmia detection.

1Turakhia, M., et al. Diagnostic Utility of a Novel Leadless Arrhythmia Monitoring Device. The American Journal of Cardiology. 2013

Provide Superior Clinical Service

Zio XT’s proven higher diagnostic yield over Holter allows you to provide the best clinical service for your arrhythmia patient. In fact, in a head-to-head comparison with Holter, Zio XT enabled doctors to make a meaningful change in clinical management for 28.4% of patients with atrial fibrillation.2

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2 Rosenburg, M., et al. Use of Noninvasive Continuous Monitoring Device in the Management of Atrial Fibrillation: A Pilot Study. Pacing and Clinical Electrophysiology, 2013

Easily Interpret Reports Directly From Your EHR

Eliminate the back and forth printing, scanning and uploading. Streamline your Zio workflow by ordering and interpreting reports directly from your EHR.

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High yield / low cost


More and more payers agree: Zio is a cost-effective, high diagnostic yield, first-line monitoring solution. Give your patient the assurance of an accurate diagnosis without costly repeat tests.

3 Commissioned analysis by Decision Drivers Analytics, which used 2015 Medicare fee schedules to estimate Medicare payment and diagnostic yields derived from Zio Service Data, Rothman et al. (2007); Tsang et al. (2014) & Reiffel et al. (2005)

Zio by iRhythm on CNBC

Video featured on CNBC Modern Medicine article titled "A tiny patch powering big data is changing the way we monitor heartbeats."