Cardiologs Holter for Service Providers

Grow your cardiac service business, reduce inefficiencies

Provide high-quality cardiac monitoring services while running a profitable business

Medical-grade AI

Deep-learning technology
Built on +200M recordings¹
Increased specificity & comparable sensitivity vs. traditional solutions²

Cloud-based technology

No local software installation required
Available through API, as an option
Direct and secure data sharing through ShareSpace

Vendor-neutral solution

Compatible with various device manufacturers³
Supports different recording modalities

Grow your business with Cardiologs

Operational efficiency

Our platform automates most of the tasks required to perform expert-level ECG diagnostics, increasing your Holter team's overall productivity by 53%. Your ECG technicians and cardiac physiologists can scan recordings, guided by our Worklist designed to streamline workflow and teamwork.

Customer satisfaction

Generate sleek reports, customizable to the needs of your organization. With “Signal Insights” feature, you can give your clients a 1-click, secured access to the episodes’ context.

Scale your services

Cardiologs lets you integrate new devices, thus expanding your activity freely with no additional software needed.

Validated AI technology

20+

Publications & Abstracts

4

Patents granted

200M+

ECGs in database

CE Mark

FDA Clearance

GDPR compliant

HIPAA compliant

Mark Hashemi

Managing Director at ECG On-Demand

Cardiologs has helped us with keeping our clinical service in the UK and not needing to outsource overseas, by increasing our productivity.

Stephanie Barrett

Clinical lead at ECG On-Demand

Cardiologs is a very intuitive system to use. I was already comfortable playing around by myself after a couple of cases.

Laura Smith

Cardiac Physiologist at ECG On-Demand

Cardiologs represents a massive improvement compared to the solutions I’ve used in the past. I now have the quality and the speed.

Based on Holter team productivity and report processing time before and after deployment of Cardiologs Holter by a service provider. These results may not reflect those obtained by other facilities.
Li, J. (2016) Deep Neural networks improve atrial fibrillation detection in Holter: first results. European Journal of Preventive Cardiology. 22 (2s), 41.
Please refer to the Instructions For Use for a list of the technical requirements needed for compatibility. In the USA, clearance only applies to wet electrodes.