Cardiac Monitoring in Primary Care

Zio® ECG monitors, combined with iRhythm's comprehensive cardiac monitoring service, allow primary care providers to efficiently assess patients for potential arrhythmias, leading to faster diagnoses and streamlined treatment plans.1-3

Physician

The precise solution for primary care patients

The iRhythm monitoring service, utilizing our Zio long-term continuous monitoring (LTCM) devices, enables you to deliver the right care at the right place and time, providing highly accurate, actionable data3-6 while patients remain in the primary care setting.

Despite high demand for specialty heart care, nearly half of US counties don't have a practicing cardiologist7 and the average wait for an appointment is 27 days.8,9
Accelerate pursuit of differential diagnoses if arrhythmias are not present and mitigate cardiologist backlog by reducing the number of undiagnosed patients referred.3,4,10
Improve clinical outcomes,2,3,11 enable a comfortable wear,12,13 and reduce the likelihood for retesting compared to other monitoring services.2,3
Physician discussing with patient

AFib is up to 3X more prevalent than previously thought14

The burden of cardiac arrhythmias, such as atrial fibrillation (AFib), is significant. Research shows a strong link between arrhythmias and other chronic diseases, including cardiometabolic conditions.

There are up to 10.5 million adults in the US with diagnosed AFib14

1.5 million Americans are estimated to have undiagnosed AFib in the US15

AFib is associated with a 2.4-fold risk of stroke16

AFib is associated with a 5-fold risk of heart failure16

Lifetime risk of developing AFib is roughly 1 in 417

Zio monitor

The Zio monitor

The Zio ECG monitor is a prescription-only, single-use ECG monitor that continuously records data for up to 14 days. It is indicated for use on patients who may be asymptomatic or who may suffer from transient symptoms such as palpitations, shortness of breath, dizziness, lightheadedness, pre-syncope, syncope, fatigue, or anxiety. Zio ECG monitors are indicated to detect 13 types of arrhythmia classes, plus sinus rhythm and artifacts18-21:

  • Sinus
  • Atrial fibrillation (AF)
  • Supraventricular tachycardia (SVT)
  • Ectopic atrial rhythm (EAR)
  • Junctional
  • Bigeminy
  • Trigeminy
  • Complete heart block (CHB)
  • AVB Type II
  • Wenckebach
  • Ventricular tachycardia (VT)
  • Idioventricular rhythm (IVR)
  • VF/TdP/PVT
  • PAUSE
Patient wearing Zio monitor

Designed with patients in mind

Zio ECG monitors are small11 and comfortable12,13 so patients can go about their daily activities.12,13

  • High patient satisfaction11 resulting in outstanding compliance with prescribed wear times13
  • 2x more likely to result in specified arrhythmia diagnoses compared to Holter monitoring services2,3,6,22
  • Flexibility to fit in your practice’s workflow — monitor can be applied in-clinic or via Home Enrollment by patients
Zio report

End-of-wear reports with 99% physician agreement23

The Zio end-of-wear report is accurate and succinct11 — generated by an FDA-cleared, deep-learned algorithm and reviewed and curated by Certified Cardiographic Technicians.18-21

  • The algorithm can classify a broad range of distinct arrhythmias with high diagnostic performance similar to that of cardiologists19
  • The Zio report provides a comprehensive end-of-wear analysis based on the full wear period18-21
  • The cover page offers a comprehensive overview of the most important cardiac events, while the rest of the report provides a detailed, easy-to-navigate deep dive into the finer points of the data collected

Keep reading

Clinical Article
Turakhia et al., The American Journal of Cardiology, 2013.
Diagnostic Utility of a Novel Leadless Arrhythmia Monitor
A retrospective study of analyzable time, timing to arrhythmia detection and diagnostic yield of the Zio device
Read more
Clinical Article
Barrett et al., American Journal of Medicine, 2014.
Comparison of 24-Hour Holter Monitoring Versus 14-Days
A prospective study comparing the detection of arrhythmia events over total wear time with the Zio device to Holter monitoring
Read more
Clinical Article
Go et al., JAMA Cardiology, 2018.
Association of AF Burden with Stroke Risk (KP-RHYTHM Study)
A retrospective study to evaluate the association between AF burden and ischemic stroke risk in patients with PAF not on OAC
Read more
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  1. ZioSuite Clinical Reference Manual. iRhythm Technologies, 2022.
  2. Reynolds et al. Comparative effectiveness and healthcare utilization for ambulatory cardiac monitoring strategies in Medicare beneficiaries. Am Heart J. 2024;269:25-34. Accessed January 2, 2024. doi.org/10.1016/j.ahj.2023.12.002
  3. Based on previous generation Zio XT device data. Zio monitor utilizes the same operating principles and ECG algorithm. Additional data on file.
  4. Data on file. iRhythm Technologies, 2022-2023.
  5. Steinhubl et al. Effect of a home-based wearable continuous ECG monitoring patch on detection of undiagnosed atrial fibrillation. JAMA. 2018;320(2):146-155. Accessed October 2, 2024. doi.org/10.1001/jama.2018.8102
  6. Zio LTCM service refers to Zio XT and Zio monitor service.
  7. Kim et al. Geographic disparities in access to cardiologists in the United States. J Am Coll Cardiol. 2024;84(3):315-316. doi.org/10.1016/j.jacc.2024.04.054
  8. AMN Healthcare/Merritt Hawkins. 2022 Survey of physician appointment wait times and Medicare and Medicaid acceptance rates. AMN Healthcare. 2022. Accessed September 27, 2024. www.wsha.org/wp-content/uploads/mha2022waittimesurveyfinal.pdf
  9. Based on a survey of cardiologist offices in 15 major metropolitan markets across the US.
  10. Barrett et al. Comparison of 24-hour Holter monitoring with 14-day novel adhesive patch electrocardiographic monitoring. Am J Med. 2014;127(1):95.e11-95.e17. doi.org/10.1016/j.amjmed.2013.10.003
  11. Data on file. iRhythm Technologies, 2023.
  12. Zio monitor Instructions for Use. iRhythm Technologies, 2023.
  13. Data on file. iRhythm Technologies, 2022.
  14. Noubiap J et al. Minimum national prevalence of diagnosed atrial fibrillation inferred from California acute care facilities. J Am Coll Cardiol. 2024;19:S0735-1097(24)07903-8. doi.org/10.1016/j.jacc.2024.07.014
  15. Turakhia et al. Contemporary prevalence estimates of undiagnosed and diagnosed atrial fibrillation in the United States. Clinical Cardiology. 2023;46(5):484-493. doi.org/10.1002/clc.23983
  16. Joglar et al. 2023 ACC/AHA/ACCP/HRS guideline for the diagnosis and management of atrial fibrillation: a report of the American College of Cardiology/American Heart Association Joint Committee on clinical practice guidelines. Circulation. 2023;149:e1-e156. doi.org/10.1161/CIR.0000000000001193
  17. Staerk et al. Lifetime risk of atrial fibrillation according to optimal, borderline, or elevated levels of risk factors: Cohort study based on longitudinal data from the Framingham Heart Study. BMJ. 2018;361:k1453. doi.org/10.1136/bmj.k1453
  18. Data on file. iRhythm Technologies, 2020.
  19. ​Hannun et al. Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network. Nat Med. 2019;25(1):65-69. doi.org/10.1038/s41591-018-0268-3
  20. Deep-learned algorithm is only available in the United States, European Union, Switzerland, and United Kingdom.
  21. FDA 510K clearance, CE mark, and UKCA mark.
  22. A specified arrhythmia refers to an arrhythmia encounter diagnosis as per Hierarchical Condition Categories (HCC) 96.
  23. Based on a review of all online Zio XT, Zio monitor, and Zio AT end-of-wear reports. Data on file. iRhythm Technologies, 2023.

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