ATLANTA  |  APRIL 6-8, 2024

Precision in practice.

The Zio service helps you accomplish your program goals by delivering superior clinical accuracy while reducing the cost of care. The service is comprised of:

  • A single use monitor that patients prefer, with 99% patient compliance1
  • Advanced AI in cardiac monitoring2
  • A curated patient report, built by Certified Cardiographic Technicians, with 99% physician agreement3


Come join us at ACC.24 in booth #1131 and speak with our team.

Find Zio by iRhythm at ACC.24:
Expo Dates: April 6-8, 2024
Georgia World Congress Center| Atlanta, GA
Booth #1131 | ExpoSuite #ES1453

Exhibit Hours:
Saturday, April 6: 9:00 a.m. – 4:45 p.m.
Sunday, April 7: 9:00 a.m. – 4:45 p.m.
Monday, April 8: 9:00 a.m. – 2:00 p.m

Industry Expert Theater
ACC.24 Abstract Presentation
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Industry Expert Theater

Sunday, April 7th  | 3:30-4:30p.m.  | Theater IET3

Contemporary Challenges in Arrhythmia Monitoring and Management: From AF to VT 



Portrait of Rod S. Passman MD
Landscape of Cardiac Rhythm Monitoring | Not All Monitoring is the Same: Impact of Ambulatory Device Selection on Diagnostic and Clinical Outcomes. 

Rod Passman, MD, MSCE, FACC, FHRS, FAHA 

Director, Northwestern University Center for Arrhythmia Research
Associate Director, Cardiac Electrophysiology,
Northwestern University, Feinberg School of Medicine
How Much AF is Too Much: What do Recent Findings Mean for Monitoring

Renato Delascio Lopes, MD, MHS, PhD, FACC

Professor of Medicine of the Department of Medicine, Cardiology
Duke University Medical Center
Risk Stratifying ACM-Detected Ventricular Arrhythmias from PVCs to Sustained VT

Christine Albert, MD, MPH, FHRS, FACC

Professor of Cardiology
Chair, Department of Cardiology

ACC.24 badge required for entry.

This event is not part of ACC.24, as planned by its Program Committee, and does not qualify for continuing medical education (CME), continuing nursing education (CNE) or continuing education (CE) credit.

Abstract Presentation

Sunday, April 7 | 11:15 a.m. – 12:00 p.m.  | Presentation #1391-202
Hannah Schwennesen, M.D., Duke Clinical Research Institute

Extended Ambulatory Monitoring and Prediction of Heart Failure Events in Treated and Untreated Patients

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 Zio Service and Clinical Evidence



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1. Data on file. iRhythm Technologies, 2019


2. Over 4 million patient records, over 1 billion hours of heart rhythm data, 34 layer deep neural network.


Data on file. iRhythm Technologies, 2022.


Hannun, AY. et al. Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network. Nature Medicine, 2019.


FDA 510K clearance.


Deep learned algorithm is only available in the United States.

3. 99% of physicians agree with the comprehensive final patient report. Based on a review of all online Zio XT and AT final patient reports. Data on file. iRhythm Technologies, 2021.