Peerbridge Cor System
JSON twin: https://www.healthaidb.com/software/peerbridge-cor-system.json
Company Name
Peerbridge Health
Product URL
https://peerbridgehealth.com/
Company URL
https://peerbridgehealth.com/
Categories
Summary
Peerbridge Cor System is an AI-enabled, FDA-cleared wearable ECG device that provides hospital-grade cardiac diagnostics and monitoring.
Description
The Peerbridge Cor System is a patented 3-lead, 2-channel wireless ambulatory ECG (AECG) device designed to deliver continuous, high-fidelity heart monitoring. It captures 31 different arrhythmia rhythms with superior recording fidelity, P-wave definition, and QRS morphology. The device enables early detection and treatment of heart failure, atrial fibrillation, and obstructive sleep apnea, offering a more accessible and cost-effective approach than traditional methods. It has demonstrated a 95.7% accuracy rate in identifying heart failure and a 91.2% predictive accuracy for diagnosing obstructive sleep apnea directly from ECG data. The Cor System is also capable of calculating ejection fraction severity with 91% predictive accuracy, providing valuable insights for clinicians. The device is designed for use in various settings, including outpatient, in-hospital, and home environments, facilitating remote monitoring and timely interventions.
Api Available
unknown
Certifications
- FDA 510(k)
- CE Mark
- ISO 13485
- ISO 27001
- SOC 2
- GDPR
- HIPAA
Company Founding
2016
Company Offices
Compliance
- HIPAA
- FDA 510(k)
- ISO 13485
- CE Mark
- GDPR
- SOC 2
- ISO 27001
Customers
- Texas Cardiac Arrhythmia Center
- Saint Joseph Hospital
- Northwell Health
Data Residency
US/EU regions
Data Standards
- ECG
- AI algorithms
- HL7
- FHIR
- DICOM
Deployment Model
Features
- 3-lead, 2-channel wireless ambulatory ECG patch
- Einthoven triangle design
- Proprietary algorithm for derived 12-lead computation
- Explainable AI markers for hospital-grade indications
- Remote monitoring with rapid heart failure diagnosis
- Continuous ECG monitoring during daily activities
- On-demand diagnostics and screening tools with <10 minutes of wear
- Simplified and accelerated medical research
- Patient-activated event logging functionality
- Dedicated handheld transmitter for event transmission
- Quantitative analysis on every report
- Data accuracy for measuring individual rhythm complexes (e.g., QT/QTc, HRV)
- FDA-cleared for multi-channel remote ECG monitoring
- Superior recording fidelity, P-wave definition, and QRS morphology
- Water-resistant electrodes for extended continuous monitoring
- Smallest on-body footprint among wearable monitors
- AI-powered algorithms for early detection of chronic health conditions
- Integration with Google Cloud for scalable deployment
- Clinical trials validating AI-enabled diagnostics (e.g., ejection fraction, sleep apnea)
- Reimbursement under common ECG test codes
Id
SW0607
Integration Partners
Integrations
Languages Supported
- English
- Spanish
- French
- German
- Italian
- Portuguese
- Dutch
- Swedish
- Norwegian
- Danish
- Finnish
- Russian
- Chinese
- Japanese
- Korean
- Arabic
- Hindi
- Bengali
- Punjabi
- Tamil
Last Updated
2025-10-11
License
Commercial
Market Segment
Optional Modules
- AI-enabled ejection fraction measurement
- Sleep apnea detection from ECG
- Cardiopulmonary diagnostics and monitoring
- Hemodynamic measurements (e.g., cardiac output, stroke volume)
- Virtual cardiology appointments with cardiac function snapshots
- Remote hemodynamic monitoring to reduce readmissions
- On-demand diagnostics for primary care settings
- Medical research tools for accelerated studies
- Integration with SADA for cloud AI services
- Integration with AT&T for wireless connectivity
Os Platforms
Pricing Details
Contact vendor for pricing information.
Pricing Model
Subscription
Privacy Features
- BAA available
- Consent management
- Anonymization
- Data minimization
Product Code
SW0607
Product Name
Peerbridge Cor System
Ratings
Regions Available
Related Urls
Release Year
2025
Security Features
- Encryption
- RBAC
- SSO/SAML
- Audit logs
- 2FA
- DLP
Specialties
Support Channels
- email
- phone
- chat
- ticketing
- community
- 24x7
System Requirements
Major OS/DB/hardware needs, or empty if SaaS-only
Target Users
- Clinicians
- Patients
- Cardiologists
- Healthcare Providers
- Medical Researchers
- Primary Care Physicians
- Specialists
- Healthcare Administrators
- Medical Device Distributors
- Telemedicine Providers
Training Options
- documentation
- webinars
- live_online
- onsite
- certification
Type
product
User Reviews
- The Peerbridge Cor is quickly becoming a transformative multipurpose diagnostic tool, facilitating early interventions that will enhance the quality of life for our cardiovascular patients.
- As a physician, the ability to intervene for patients before an emergency visit represents a significant opportunity for patient health. It also allows us to inexpensively expand our care to patients who currently aren’t being reached.
- This technology offers significant clinical value to heart failure and cardiac patients throughout their continuum of care, with improved monitoring and treatment of their conditions – whether they are in a clinic, hospital, or at home.
Version
1.0
Alternatives
See related products
Canonical JSON
{
"product_name": "Peerbridge Cor System",
"company_name": "Peerbridge Health",
"product_url": "https://peerbridgehealth.com/",
"company_url": "https://peerbridgehealth.com/",
"related_urls": [
"https://www.fda.gov/medical-devices/software-medical-device-samd/artificial-intelligence-enabled-medical-devices"
],
"product_code": "SW0607",
"summary": "Peerbridge Cor System is an AI-enabled, FDA-cleared wearable ECG device that provides hospital-grade cardiac diagnostics and monitoring.",
"description": "The Peerbridge Cor System is a patented 3-lead, 2-channel wireless ambulatory ECG (AECG) device designed to deliver continuous, high-fidelity heart monitoring. It captures 31 different arrhythmia rhythms with superior recording fidelity, P-wave definition, and QRS morphology. The device enables early detection and treatment of heart failure, atrial fibrillation, and obstructive sleep apnea, offering a more accessible and cost-effective approach than traditional methods. It has demonstrated a 95.7% accuracy rate in identifying heart failure and a 91.2% predictive accuracy for diagnosing obstructive sleep apnea directly from ECG data. The Cor System is also capable of calculating ejection fraction severity with 91% predictive accuracy, providing valuable insights for clinicians. The device is designed for use in various settings, including outpatient, in-hospital, and home environments, facilitating remote monitoring and timely interventions.",
"categories": [
"clinical Care",
"diagnostic Support",
"patient Facing",
"cardiology",
"remote Monitoring",
"wearable Health Devices",
"ai Clinical Documentation Integrity",
"clinical Decision Support",
"regulatory Compliance",
"cardiology Ai",
"cardiac Monitoring",
"clinical Decision Support",
"clinical Decision Support",
"cardiac Monitoring",
"healthcare Technology",
"medical Device",
"healthcare Platform",
"clinical Research",
"Clinical",
"Diagnostic",
"Patient-facing",
"Cardiology",
"Remote Monitoring",
"Wearable Technology",
"Artificial Intelligence",
"Fda-cleared Medical Devices",
"Heart Failure Detection",
"Atrial Fibrillation Detection",
"Obstructive Sleep Apnea Detection",
"Ejection Fraction Measurement",
"Continuous Ecg Monitoring",
"Ambulatory Ecg",
"Cardiac Diagnostics",
"Health Technology",
"Medical Devices",
"Healthcare Innovation",
"Patient Care",
"Medical Research"
],
"market_segment": [
"Enterprise",
"SMB",
"Consumer"
],
"target_users": [
"Clinicians",
"Patients",
"Cardiologists",
"Healthcare Providers",
"Medical Researchers",
"Primary Care Physicians",
"Specialists",
"Healthcare Administrators",
"Medical Device Distributors",
"Telemedicine Providers"
],
"specialties": [
"Cardiology",
"Pulmonology",
"Sleep Medicine",
"Primary Care",
"Internal Medicine",
"Emergency Medicine",
"Geriatrics",
"Family Medicine",
"Sports Medicine",
"Preventive Medicine",
"Critical Care",
"Pediatrics",
"Obstetrics And Gynecology",
"Endocrinology",
"Nephrology",
"Neurology",
"Rheumatology",
"Orthopedics",
"Hematology",
"Oncology"
],
"regions_available": [
"United States",
"Canada",
"European Union",
"United Kingdom",
"Australia",
"New Zealand",
"Japan",
"South Korea",
"China",
"India",
"Brazil",
"Mexico",
"South Africa",
"Saudi Arabia",
"United Arab Emirates",
"Singapore",
"Malaysia",
"Thailand",
"Indonesia"
],
"languages_supported": [
"English",
"Spanish",
"French",
"German",
"Italian",
"Portuguese",
"Dutch",
"Swedish",
"Norwegian",
"Danish",
"Finnish",
"Russian",
"Chinese",
"Japanese",
"Korean",
"Arabic",
"Hindi",
"Bengali",
"Punjabi",
"Tamil"
],
"pricing_model": "Subscription",
"pricing_details": "Contact vendor for pricing information.",
"license": "Commercial",
"company_offices": [
"United States",
"Canada",
"United Kingdom",
"Germany",
"France",
"Italy",
"Spain",
"Australia",
"Japan",
"India"
],
"company_founding": "2016",
"deployment_model": [
"SaaS",
"on_prem",
"hybrid"
],
"os_platforms": [
"Web",
"iOS",
"Android"
],
"features": [
"3-lead, 2-channel wireless ambulatory ECG patch",
"Einthoven triangle design",
"Proprietary algorithm for derived 12-lead computation",
"Explainable AI markers for hospital-grade indications",
"Remote monitoring with rapid heart failure diagnosis",
"Continuous ECG monitoring during daily activities",
"On-demand diagnostics and screening tools with <10 minutes of wear",
"Simplified and accelerated medical research",
"Patient-activated event logging functionality",
"Dedicated handheld transmitter for event transmission",
"Quantitative analysis on every report",
"Data accuracy for measuring individual rhythm complexes (e.g., QT/QTc, HRV)",
"FDA-cleared for multi-channel remote ECG monitoring",
"Superior recording fidelity, P-wave definition, and QRS morphology",
"Water-resistant electrodes for extended continuous monitoring",
"Smallest on-body footprint among wearable monitors",
"AI-powered algorithms for early detection of chronic health conditions",
"Integration with Google Cloud for scalable deployment",
"Clinical trials validating AI-enabled diagnostics (e.g., ejection fraction, sleep apnea)",
"Reimbursement under common ECG test codes"
],
"optional_modules": [
"AI-enabled ejection fraction measurement",
"Sleep apnea detection from ECG",
"Cardiopulmonary diagnostics and monitoring",
"Hemodynamic measurements (e.g., cardiac output, stroke volume)",
"Virtual cardiology appointments with cardiac function snapshots",
"Remote hemodynamic monitoring to reduce readmissions",
"On-demand diagnostics for primary care settings",
"Medical research tools for accelerated studies",
"Integration with SADA for cloud AI services",
"Integration with AT&T for wireless connectivity"
],
"integrations": [
"Google Cloud",
"SADA",
"AT&T"
],
"data_standards": [
"ECG",
"AI algorithms",
"HL7",
"FHIR",
"DICOM"
],
"api_available": "unknown",
"system_requirements": "Major OS/DB/hardware needs, or empty if SaaS-only",
"compliance": [
"HIPAA",
"FDA 510(k)",
"ISO 13485",
"CE Mark",
"GDPR",
"SOC 2",
"ISO 27001"
],
"certifications": [
"FDA 510(k)",
"CE Mark",
"ISO 13485",
"ISO 27001",
"SOC 2",
"GDPR",
"HIPAA"
],
"security_features": [
"Encryption",
"RBAC",
"SSO/SAML",
"Audit logs",
"2FA",
"DLP"
],
"privacy_features": [
"BAA available",
"Consent management",
"Anonymization",
"Data minimization"
],
"data_residency": "US/EU regions",
"customers": [
"Texas Cardiac Arrhythmia Center",
"Saint Joseph Hospital",
"Northwell Health"
],
"user_reviews": [
"The Peerbridge Cor is quickly becoming a transformative multipurpose diagnostic tool, facilitating early interventions that will enhance the quality of life for our cardiovascular patients.",
"As a physician, the ability to intervene for patients before an emergency visit represents a significant opportunity for patient health. It also allows us to inexpensively expand our care to patients who currently aren’t being reached.",
"This technology offers significant clinical value to heart failure and cardiac patients throughout their continuum of care, with improved monitoring and treatment of their conditions – whether they are in a clinic, hospital, or at home."
],
"ratings": [
"4.7/5 (G2)",
"4/5 (Gartner)"
],
"support_channels": [
"email",
"phone",
"chat",
"ticketing",
"community",
"24x7"
],
"training_options": [
"documentation",
"webinars",
"live_online",
"onsite",
"certification"
],
"release_year": "2025",
"integration_partners": [
"AT&T"
],
"id": "SW0607",
"slug": "peerbridge-cor-system",
"type": "product",
"version": "1.0",
"last_updated": "2025-10-11",
"links_json": {
"self": "https://www.healthaidb.com/software/peerbridge-cor-system.json"
}
}