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The Total Package

The right mix of clinical accuracy,1 outstanding patient compliance,2 and elegant implementation to streamline your practice like never before.3

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Advanced monitors

Our state-of-the-art monitors are designed with patients in mind,4-7 resulting in astounding patient compliance,2 ensuring the data captured are continuous and uninterrupted.6,7

Efficient solutions

The iRhythm monitoring service helps to streamline the use of healthcare resources and support your efforts in building a world-class cardiovascular program.3,8-12 

Exceptional accuracy

We bring precision you can trust1 to your practice through our monitoring services that provide the highest diagnostic yield, the lowest likelihood for retest,9,11,13 and end-of-wear reports with 99% physician agreement.14   
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An end-to-end cardiac monitoring service

The iRhythm monitoring service provides you with everything your practice needs. From our advanced, yet simple-to-use Zio® ECG monitors15,16 to our elegant data management solutions, we are transforming the world of cardiac monitoring with every heartbeat.

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Advanced AI with a human touch

Our FDA-cleared, deep-learned AI algorithm is proven to be as accurate as expert cardiologists,17-20 enabling you to confidently diagnose arrhythmias including atrial fibrillation.1 The iRhythm monitoring service delivers accurate and succinct reports.1 The recorded data is processed by our algorithm, then curated and verified by Qualified Cardiac Technicians.17-20

Keep reading

Clinical Article
Reynolds et al, American Heart Journal, 2023.
Comparative Effectiveness of ACM Strategies (CAMELOT Study)
A retrospective study of variations in ACM strategies, clinical outcomes and health care costs in diagnostic-naïve patients
Read more
Clinical Article
Eysenck et al., Journal of Interventional Cardiac Electrophysiology, 2019.
Comparison of 4 ACMs to Permanent Pacemaker AF Detection
A prospective, randomized study to compare ACM AF burden and AF episodes in patients implanted with a pacemaker with known AF
Read more
Clinical Article
Hannun et al., Nature Medicine, 2019.
Deep Neural Network to Detect and Classify Arrhythmias
To assess if a deep learning approach can classify a broad range of arrhythmias with diagnostic performance of cardiologists
Read more
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Full support

Questions about products, billing, or our services? We have you covered.

iRhythm offers dedicated support to help with issues like inventory management and customer satisfaction. We even have a specialized billing team to help manage revenue cycle questions and billing inquiries available 24/7/365. 

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  1. Data on file. iRhythm Technologies, 2023.
  2. Data on file. iRhythm Technologies, 2022.
  3. ZioSuite Clinical Reference Manual. iRhythm Technologies, 2022.
  4. Zio AT Clinical Reference Manual. iRhythm Technologies, 2022.
  5. Zio AT does not require battery changes or charging. Zio AT has wear time transmission limits and is contraindicated for critical care patients. Refer to the Zio AT Clinical Reference Manual for additional information.
  6. Zio XT Clinical Reference Manual. iRhythm Technologies, 2019.
  7. Zio monitor Instructions for Use. iRhythm Technologies, 2023.
  8. 99% of physicians agree with the comprehensive end-of-wear report. Based on a review of all online Zio XT, Zio monitor, and Zio AT end-of-wear reports. Data on file. iRhythm Technologies, 2023.
  9. Reynolds et al. Comparative effectiveness and healthcare utilization for ambulatory cardiac monitoring strategies in Medicare beneficiaries. Am Heart J. 2024;269:25–34. https://doi.org/10.1016/j.ahj.2023.12.002
  10. A specified arrhythmia refers to an arrhythmia encounter diagnosis as per Hierarchical Condition Categories (HCC) 96.
  11. Based on previous generation Zio XT device data. Zio monitor utilizes the same operating principles and ECG algorithm. Additional data on file.
  12. Zio LTCM service refers to Zio XT and Zio monitor service.
  13. In testing for specified arrhythmias defined by Hierarchical Condition Categories (HCC) 96.
  14. Based on a review of all online Zio XT, Zio monitor, and Zio AT end-of-wear reports. Data on file. iRhythm Technologies, 2023.
  15. Battisti et al. Abstract 4141717: Feasibility of point-of-wear patient satisfaction surveys to validate patient-centered product enhancements: results from over 300,000 patients for long-term ambulatory cardiac monitoring. Circulation. 2024;150:A4141717. doi:10.1161/circ.150.suppl_1.4141717. https://www.ahajournals.org/doi/abs/10.1161/circ.150.suppl_1.4141717
  16. Data on file. iRhythm Technologies, 2024
  17. Data on file. iRhythm Technologies 2020.
  18. Hannun et al. Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network. Nat Med. 2019;25:65-69.https://doi.org/10.1038/s41591-018-0268-3
  19. Deep-learned algorithm is only available in the United States, European Union, Switzerland, and United Kingdom. ​
  20. FDA 510K clearance, CE mark, and UKCA mark.

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