
There’s a better way.
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 98% patient compliance1
- The most advanced AI in cardiac monitoring2
- A curated patient report, built by Certified Cardiographic Technicians, with 99% physician agreement3
- Healthcare providers can access patient information and interpret from their desktop or on the go via the Zio Suite portal and mobile app.
Come join us at ACC.23/WCC in booth #129 and speak with our team.
Find Zio by iRhythm at ACC.23/WCC:
Expo Dates: March 4 – 6, 2023
Ernest N. Morial Convention Center | New Orleans
Booth #129 | ExpoSuite #ES463
Exhibit Hours:
Saturday, March 4: 9:00 a.m. – 4:45 p.m.
Sunday, March 5: 9:00 a.m. – 4:45 p.m.
Monday, March 6: 9:00 a.m. – 2:00 p.m

Educational Event
Sunday, March 5 | 6:30 p.m. | New Orleans Marriott, Third Floor Mardi Gras Ballroom | 555 Canal St. New Orleans, L.A. 70130
Join us for an Educational Event - Cardiac Monitoring: Clinical Challenges, Evidence Gaps, and Patient Outcomes
Suneet Mittal, MD, FACC, FHRS
Valley Medical Group
Assoc Chair of Cardiovascular Services
Janet K. Han, MD, FACC, FHRS
Interventional Cardiac Electrophysiology
Associate Professor of Medicine, UCLA
Opening remarks | Suneet Mittal, MD, FACC, FHRS
Overview
Landscape of Cardiac Rhythm Monitoring | Rod Passman, MD, MSCE, FACC, FHRS, FAHA, Northwestern University Feinberg School of Medicine
Impact of Rhythm Monitoring Strategy on Diagnostic Yield and Clinical Outcomes | Suneet Mittal, MD, FACC, FHRS
Disease Management
Why Pattern and Burden of AF Matters to You and Your Patients - A New Paradigm | Janet Han, MD, FACC, FHRS
Evaluation and Management of Patients with Frequent PVCs | Luigi Di Biase, M.D., PhD, FACC, FHRS, Department of Medicine - Albert Einstein College of Medicine
Putting it all Together
Creating an Effective Cardiac Rhythm Monitoring Program | Bret Bochsler, VP Operations Christus Trinity Mother Francis
Getting to CAMELOT: The Importance of Equity | Special Guest Speaker
Panel Discussion

Valley Medical Group
Assoc Chair of Cardiovascular Services, VMG; Dir of Electrophysiology, TVH; Med Dir of The Snyder Ctr for Comprehensive Atrial Fibrillation, TVH; Dir of Cardiac Research, VHS; Clinical Prof of Medicine, The Icahn School of Medicine,
Mt Sinai

Interventional Cardiac Electrophysiology
Associate Professor of Medicine, UCLA
Director, Digital Health, Cardiac Arrhythmia Service, VA Greater Los Angeles Healthcare System (VAGLAHS), Asst. Director, Cardiac Arrhythmia Service, VAGLAHS

Northwestern Univ Feinberg School of Medicine Prof. of Medicine and Preventative Medicine, Dir of NW Center for Arrhythmia Research Assoc Dir, Cardiac EP, Northwestern Memorial

Dept of Medicine Albert Einstein College of Medicine Prof, Dept Cardiology, Albert Einstein College of Medicine, Section Head of EP, Montefiore Hospitals, Director of Arrythmia Services, Department of Medicine, Sr. Researcher at Texas Cardiac Arrhythmia
ACC.23/WCC badge required for entry.
This event is not part of ACC.23 Together With WCC, 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 Presentations
Saturday, March 4 | 1:30 p.m. – 1:40 p.m. | Presentation #1021-07
Jay H. Alexander, M.D., Highland Park Hospital
Initial real world and clinical experience of the next generation ambulatory ECG Zio monitor: Implications for standard and extended wear monitoring.
Saturday, March 4 | 1:45 p.m. – 2:30 p.m. | Presentation #1348-144
Krishna Pundi, M.D., Stanford University
Prevalence and prognostic value of ventricular tachycardia on ambulatory ECG monitoring.
Sunday, March 5 | 1:45 p.m. – 2:30 p.m. | Presentation #1600-035
Suneet Mittal, M.D., Valley Medical Group
Comparative effectiveness of ambulatory monitors for arrhythmia diagnosis: A retrospective analysis of Medicare beneficiaries.
Monday, March 6 | 12:45 p.m. – 1:30 p.m. | Presentation #11801-142
Lohit Garg, M.D., University of Pennsylvania
Comparison of patch versus multi-electrode cardiac monitoring for the detection of arrhythmias: The COMPARE Study.
RSVP to our
Educational Event
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.