SignalHF
JSON twin: https://www.healthaidb.com/software/signalhf.json
Company Name
Implicity
Product URL
https://implicity.com/signal-hf-predictive-ai/
Company URL
https://implicity.com
Categories
Summary
SignalHF is an FDA-cleared AI algorithm developed by Implicity to predict heart failure hospitalizations by analyzing data from cardiac implantable electronic devices (CIEDs).
Description
SignalHF is an FDA-cleared AI algorithm that analyzes data from CIEDs, including pacemakers, implantable cardiac defibrillators, and cardiac resynchronization therapy devices, to assess the risk of heart failure hospitalizations within the next 30 days. It is compatible with devices from manufacturers such as Biotronik, Boston Scientific, and Medtronic. The algorithm evaluates 90 days of physiological data, demographics, lead measurements, and episodes & therapies to generate alerts when a patient's risk score exceeds a predefined threshold, enabling timely interventions to prevent hospitalizations. Additionally, 75% of alerts preceding a patient hospitalization are sent at least 14 days in advance, offering a two-week window to adjust medications or take proactive measures. ([implicity.com](https://implicity.com/signal-hf-predictive-ai/?utm_source=openai))
Api Available
unknown
Certifications
Company Founding
2016
Company Offices
Compliance
Customers
Data Residency
US/EU regions
Data Standards
- FHIR
- HL7 v2
- DICOM
- SNOMED
- ICD-10
Deployment Model
Features
- FDA-cleared AI algorithm for heart failure hospitalization prediction
- Manufacturer-agnostic compatibility with CIEDs from Biotronik, Boston Scientific, and Medtronic
- Utilizes 90 days of physiological data, demographics, lead measurements, and episodes & therapies
- Evaluates risk of HF hospitalizations in the next 30 days
- Generates alerts for SignalHF score above alert threshold
- Provides actionable insights for patient care adjustments
Id
SW0299
Integration Partners
Integrations
- CIEDs from Biotronik
- CIEDs from Boston Scientific
- CIEDs from Medtronic
Languages Supported
Last Updated
2025-10-11
License
commercial
Market Segment
Optional Modules
Os Platforms
Pricing Details
contact vendor
Pricing Model
subscription
Privacy Features
- BAA available
- Consent management
- Anonymization
- Data minimization
Product Code
SW0299
Product Name
SignalHF
Ratings
Regions Available
Related Urls
Release Year
Security Features
- Encryption
- RBAC
- Audit logs
- 2FA
Specialties
Support Channels
System Requirements
Target Users
Training Options
Type
product
User Reviews
Version
1.0
Alternatives
See related products
Canonical JSON
{
"product_name": "SignalHF",
"company_name": "Implicity",
"product_url": "https://implicity.com/signal-hf-predictive-ai/",
"company_url": "https://implicity.com",
"related_urls": [
"https://www.fda.gov/medical-devices/software-medical-device-samd/artificial-intelligence-enabled-medical-devices"
],
"product_code": "SW0299",
"summary": "SignalHF is an FDA-cleared AI algorithm developed by Implicity to predict heart failure hospitalizations by analyzing data from cardiac implantable electronic devices (CIEDs).",
"description": "SignalHF is an FDA-cleared AI algorithm that analyzes data from CIEDs, including pacemakers, implantable cardiac defibrillators, and cardiac resynchronization therapy devices, to assess the risk of heart failure hospitalizations within the next 30 days. It is compatible with devices from manufacturers such as Biotronik, Boston Scientific, and Medtronic. The algorithm evaluates 90 days of physiological data, demographics, lead measurements, and episodes & therapies to generate alerts when a patient's risk score exceeds a predefined threshold, enabling timely interventions to prevent hospitalizations. Additionally, 75% of alerts preceding a patient hospitalization are sent at least 14 days in advance, offering a two-week window to adjust medications or take proactive measures. ([implicity.com](https://implicity.com/signal-hf-predictive-ai/?utm_source=openai))",
"categories": [
"clinical Care",
"diagnostic Support",
"patient Facing",
"Clinical",
"Diagnostic",
"Patient-facing"
],
"market_segment": [
"enterprise",
"consumer"
],
"target_users": [
"clinicians",
"patients"
],
"specialties": [
"Cardiology"
],
"regions_available": [
"United States"
],
"languages_supported": [
"English"
],
"pricing_model": "subscription",
"pricing_details": "contact vendor",
"license": "commercial",
"company_offices": [
"United States",
"France"
],
"company_founding": "2016",
"deployment_model": [
"SaaS"
],
"os_platforms": [
"Web"
],
"features": [
"FDA-cleared AI algorithm for heart failure hospitalization prediction",
"Manufacturer-agnostic compatibility with CIEDs from Biotronik, Boston Scientific, and Medtronic",
"Utilizes 90 days of physiological data, demographics, lead measurements, and episodes & therapies",
"Evaluates risk of HF hospitalizations in the next 30 days",
"Generates alerts for SignalHF score above alert threshold",
"Provides actionable insights for patient care adjustments"
],
"optional_modules": [],
"integrations": [
"CIEDs from Biotronik",
"CIEDs from Boston Scientific",
"CIEDs from Medtronic"
],
"data_standards": [
"FHIR",
"HL7 v2",
"DICOM",
"SNOMED",
"ICD-10"
],
"api_available": "unknown",
"system_requirements": "",
"compliance": [
"HIPAA",
"FDA 510(k)"
],
"certifications": [
"FDA 510(k)"
],
"security_features": [
"Encryption",
"RBAC",
"Audit logs",
"2FA"
],
"privacy_features": [
"BAA available",
"Consent management",
"Anonymization",
"Data minimization"
],
"data_residency": "US/EU regions",
"customers": [],
"user_reviews": [],
"ratings": [],
"support_channels": [],
"training_options": [],
"release_year": "",
"integration_partners": [],
"id": "SW0299",
"slug": "signalhf",
"type": "product",
"version": "1.0",
"last_updated": "2025-10-11",
"links_json": {
"self": "https://www.healthaidb.com/software/signalhf.json"
}
}