accurkardia

JSON twin: https://www.healthaidb.com/software/accurkardia.json

Company Name

AccurKardia

Product URL

https://www.accurkardia.com/accurecg

Company URL

https://www.accurkardia.com/

Categories

Summary

AccurKardia provides AccurECG, a cloud-based, device‑agnostic AI software for automated, near real‑time ECG interpretation and arrhythmia detection.

Description

AccurECG is an FDA 510(k)‑cleared, cloud SaaS platform that performs beat‑by‑beat automated ECG analysis (detects up to 13 rhythms), delivers rapid results, integrates with Holter/telemetry/patch/event recorder devices, and is marketed for clinical and remote cardiac monitoring workflows; additional investigational tools (AK‑AVS, AK+ Guard) are research‑only.

Api Available

yes

Certifications

Company Founding

2019

Company Offices

Compliance

Customers

Data Residency

Data Standards

Deployment Model

Features

Id

P0033

Integration Partners

Integrations

Languages Supported

Last Updated

2025-09-07

License

commercial proprietary

Links

Market Segment

Optional Modules

Os Platforms

Pricing Details

Contact vendor for pricing, enterprise/SaaS licensing and deployment options; trial/contact sales available

Pricing Model

enterprise_quote

Privacy Features

Ratings

Regions Available

Release Year

2023

Security Features

Specialties

Support Channels

System Requirements

Target Users

Training Options

Type

product

User Reviews

Version

1.0

Canonical JSON

{
  "company_name": "AccurKardia",
  "company_url": "https://www.accurkardia.com/",
  "company_offices": [
    "United States"
  ],
  "company_founding": "2019",
  "product_url": "https://www.accurkardia.com/accurecg",
  "categories": [
    "diagnostic",
    "clinical",
    "cardiology",
    "AI/ML",
    "remote monitoring",
    "patient-facing"
  ],
  "market_segment": [
    "enterprise",
    "smb"
  ],
  "links": [
    "https://www.accurkardia.com/",
    "https://www.accurkardia.com/accurecg",
    "https://www.accurkardia.com/news",
    "https://elion.health/products/accurkardia",
    "https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpmn/pmn.cfm?ID=K223013",
    "https://www.accessdata.fda.gov/cdrh_docs/pdf22/K223013.pdf",
    "https://www.businesswire.com/news/home/20241008099886/en/AccurKardia-Receives-FDA-Breakthrough-Device-Designation-for-First-of-its-Kind-Aortic-Valve-Stenosis-ECG-based-AI-Screening-Software",
    "https://www.businesswire.com/news/home/20231109975399/en/AccurKardia-Delivers-Its-ECG-Interpretation-Software-Within-the-Lucem-Health-Reveal-Family-of-Clinical-AI-Solutions",
    "https://linkedin.com/company/accurkardia/"
  ],
  "summary": "AccurKardia provides AccurECG, a cloud-based, device‑agnostic AI software for automated, near real‑time ECG interpretation and arrhythmia detection.",
  "description": "AccurECG is an FDA 510(k)‑cleared, cloud SaaS platform that performs beat‑by‑beat automated ECG analysis (detects up to 13 rhythms), delivers rapid results, integrates with Holter/telemetry/patch/event recorder devices, and is marketed for clinical and remote cardiac monitoring workflows; additional investigational tools (AK‑AVS, AK+ Guard) are research‑only.",
  "target_users": [
    "cardiologists",
    "electrophysiologists",
    "clinicians",
    "nurses",
    "hospital systems",
    "ambulatory care providers",
    "telehealth/remote monitoring services",
    "medical device manufacturers",
    "clinical administrators"
  ],
  "specialties": [
    "cardiology",
    "electrophysiology",
    "remote cardiac monitoring",
    "telecardiology"
  ],
  "regions_available": [
    "United States"
  ],
  "languages_supported": [
    "English"
  ],
  "pricing_model": "enterprise_quote",
  "pricing_details": "Contact vendor for pricing, enterprise/SaaS licensing and deployment options; trial/contact sales available",
  "license": "commercial proprietary",
  "deployment_model": [
    "SaaS"
  ],
  "os_platforms": [
    "Web",
    "mobile web"
  ],
  "features": [
    "Automated ECG interpretation (FDA-cleared)",
    "Beat-by-beat analysis",
    "Annotated ECG summary strips",
    "Ventricular (PVC) and supraventricular (PAC) ectopic beat detection",
    "Automated classification of ~13 heart rhythms",
    "Short-duration, long-duration and continuous monitoring support",
    "Prospective and retrospective analysis",
    "Device-agnostic (compatible with Holter, event recorders, cardiac patches, MCT, 12-lead)",
    "Seamless API-based integration",
    "Output formats: API and web UI",
    "Workflow compatibility for outpatient/ambulatory and remote patient monitoring",
    "Reporting to reduce cardiac tech review time"
  ],
  "optional_modules": [
    "AK-AVS (branded AccurKardia module referenced)"
  ],
  "integrations": [
    "Holter monitors",
    "Event recorders",
    "Cardiac patches",
    "MCT devices",
    "12-lead devices"
  ],
  "data_standards": [
    "EDF"
  ],
  "api_available": "yes",
  "system_requirements": "",
  "compliance": [
    "FDA 510(k)"
  ],
  "certifications": [
    "FDA 510(k) K223013"
  ],
  "security_features": [],
  "privacy_features": [],
  "data_residency": "",
  "customers": [
    "HeartBeam (strategic collaboration partner)",
    "Lucem Health (multi-year agreement)"
  ],
  "user_reviews": [],
  "ratings": [
    "FDA 510(k) clearance for AccurECG (K223013) - FDA summary listed",
    "MedTech Breakthrough Award — \"Best New Technology Solution for ECG\" (2025)",
    "FDA Breakthrough Device Designation for AVS ECG-based AI screening software (announcement 2024)"
  ],
  "support_channels": [
    "email",
    "schedule-a-demo/contact form",
    "linkedin",
    "twitter/x"
  ],
  "training_options": [
    "documentation (online)",
    "webinars",
    "live_online (demo)"
  ],
  "release_year": "2023",
  "integration_partners": [
    "HeartBeam",
    "Lucem Health",
    "MCT/holter/event recorder/patch device vendors (device-agnostic integrations)"
  ],
  "id": "P0033",
  "slug": "accurkardia",
  "type": "product",
  "version": "1.0",
  "last_updated": "2025-09-07",
  "links_json": {
    "self": "https://www.healthaidb.com/software/accurkardia.json"
  }
}