The only report with
99% physician
agreement1

When you combine our deep learned algorithm with our Certified Cardiographic Technicians, the result is a report with an incredible 99% physician agreement.1

Get a complete sample Zio Patient Report

Best-in-class deep learned algorithm.

The Zio report is generated by an FDA-cleared, deep learned algorithm that can detect 13+ different types of arrhythmias, plus sinus rhythm and artifacts — just as well as expert, board-certified cardiologists.1,2,3,4
zio-reporting-globe

4 million+
patient records5

1 billion+ hours
of heart
rhythm data

FDA-cleared
deep learned
algorithm1,2,3,4

Detects 13+ types
of arrhythmias1,2,3,4

The human side
of the equation.

Because of our commitment to accuracy, our team of Certified Cardiographic Technicians reviews and curates 100% of our reports before you receive them. And since human reviewers are part of every report, your patients’ well being is thoughtfully considered.

We have exacting standards. Only 2% of CCT applicants are accepted.1
Sharmoneke Lott
Certified Cardiographic Technician
Sharmoneke-Lott

The human side
of the equation.

Because of our commitment to accuracy, our team of Certified Cardiographic Technicians reviews and curates 100% of our reports before you receive them. And since human reviewers are part of every report, your patients’ well being is thoughtfully considered.

We have exacting standards. Only 2% of CCT applicants are accepted.1

As elegant and easy to navigate as it is powerful.

The Zio report provides you with a rich summary of the most important cardiac events right on the first page — and an easy-to-navigate deep dive for all the intricate details captured.

It’s also available at your fingertips on the ZioSuite mobile app.

zio-reporting-report
theres-a-better-way-title-reversetheres-a-better-way-title-reverse-centered
Bensimhon-portrait-2022

“We’ve had a tremendous yield of data from the monitor we use, but what’s important to us is patients don’t mind wearing the monitor.”

Daniel Bensimhon, MD
Cardiologist, specializing in heart failure
Greensboro, NC

John_Rogers_Square

“Zio reports are accurate and succinct – they save me time when I’m reading and entering the report into the EMR.”

John Rogers MD, FACC, FHRS
Co-Chairman of the Scripps Institute Cardiology Program
Co-Chair, Division of Cardiovascular Diseases
Director, Cardiac Pacing and Tachyarrhythmia Device Therapy
Scripps Health (La Jolla, CA)

Let’s talk

We’d love to know how we can help you and your patients.

 

 

  1. Data on file. iRhythm Technologies, 2020.
  2. Hannun, AY., et al. Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network. Nature Medicine, 2019.

  3. Deep learned algorithm is only available in the United States.

  4. FDA 510K clearance.
  5. iRhythm Technologies, 2020. Form 10-K 2019. Retrieved from https://investors.irhythmtech.com/sec-filings/sec-filing/10-k/0001388658-20-000034