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Definitive diagnosis
Accelerated care

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Flexible time frame

With up to 14 days of continuous ambulatory ECG monitoring, clinicians have all the data needed to make an accurate diagnosis from a single test.

Assured clinical accuracy

99% median analysable time combined with our deep neural network and review by highly trained cardiac technicians helps ensure critical insights aren’t missed.

Patient-friendly design

With no maintenance or special attention required, the Zio service facilitates high patient compliance.

We’re a digital healthcare company redefining the way cardiac arrhythmias are clinically diagnosed

Our Zio service allows physicians to diagnose many arrhythmias more quickly and efficiently than traditional technologies and avoid multiple indeterminate tests.

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People in the UK
suffer with AF

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People with AF
are undiagnosed

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To have a stroke if AF is undiagnosed and not managed

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Arrhythmias have a £2.2b financial impact on healthcare systems

The current problem

Atrial fibrillation (AF) affects an estimated 1.4 million people in the UK, contributing to increased stroke risk and creating significant financial impact on healthcare systems. We believe that the Zio service allows physicians to diagnose many arrhythmias more quickly and efficiently than traditional technologies and avoid multiple indeterminate tests.

Early detection of heart rhythm disorders, such as atrial fibrillation (“AF”) and other clinically relevant arrhythmias, allows for appropriate medical intervention and helps avoid more serious downstream medical events, including stroke.

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Source: Transforming services: a systems based approach. Public Health England.

https://publichealthmatters.blog.gov.uk/2016/07/14/transforming-services-a-systems-based-approach/ Published July 14, 2016. Accessed May 1, 2018.

Founded in 2006

Over 3 million patients tested

Continuous, uninterrupted monitoring

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Artificial intelligence (AI) and our Zio deep learning algorithm

Developed in collaboration with the Stanford Machine Learning Group, our deep neural network can detect and identify 10 arrhythmia classes. Combining deep learning and classic machine learning capabilities with our expert cardiac technician review, Zio by iRhythm gives physicians and patients the assurance of expert-level accuracy in arrhythmia detection.

  10 arrhythmias classified

  Faster diagnosis and accelerated patient care

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Zio XT patient-friendly monitor

The Zio service was designed specifically to facilitate high patient compliance and allow data to be recorded uninterrupted and continuously for up to 14 days.

  No gaps in data due to patient-centric design

  Convenient button to mark episodes

Patients can continue daily activities while wearing the Zio monitor, including showering and exercising

Get in touch

Where can I get the Zio service?

The Zio system is available in both the private sector and the NHS. Please fill out the short form and a representative will follow up with you to appeal a convenient location.