Establishing the Next Level in Cardiac Monitoring Solutions

About Us

Since 1889, Joerns has demonstrated strong leadership, perseverance, and commitment to our customers – enabling a small family business to endure, adapt, and grow into a market-leading provider of healthcare products and services. We are part of a necessary industry that caters to a very basic human fact of life – at some point, everyone will need care or be with someone in need of care. What we promise and how we make good on that promise will truly affect the lives of others.

Look at the Leaders of Zywie

Latha Ganeshan

Chief Executive Officer and Founder

Sameer Adumala

Chief Technical Officer and Founder

Andrew Carlton

Vice President of Sales & Operations

Featured Innovations

Zywie NanoPatch

ZywieNanoTM MCT Patch is a miniaturized biosensor — no bigger than a bandaid!

Zywie® puts you in control with customizable notification parameters, ensuring you’re alerted only to clinically significant rhythms that matter. No more distractions from irrelevant calls or faxes—just the information you need when you need it.

  • – Ability to monitor for 30 days
  • – Live-transmitting data
  • – Beat-to-beat analysis
  • – Full disclosure on-demand
  • – Notifications in near-real-time
  • – Customizable notifications
  • – Patch can be reapplied if it falls off
  • – You can shower with the device

Company Spotlight Video

News and Stories

EY Announces Latha Ganeshan of Zywie, Inc. as an Entrepreneur Of The Year® 2024 Southeast Award Finalist

Zywie Awarded a Spot on ECAT and FSS Contract Vehicles Through SDVOSB Partner, Lovell Government Services

Lovell® Government Services is pleased to announce a partnership with Zywie Healthcare, an innovator in wearable cardiac monitoring solutions. Lovell will represent Zywie as their Service-Disabled Veteran-Owned Small Business (SDVOSB) Vendor in the federal space. “As a growing company committed to improving patient care through continual advancements in heart monitoring technology, we look forward to the…

ECG-Based Deep Learning Framework to Identify Ventricular Arrhythmias in Patients Monitored with MCT

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