Rad AI Continuity

JSON twin: https://www.healthaidb.com/software/rad-ai-continuity.json

Company Name

Rad AI

Product URL

https://rad.ai/continuity

Company URL

https://rad.ai

Categories

• clinical Care
• diagnostic Support
• administrative Operations
• Clinical
• Diagnostic
• Administrative

Summary

Rad AI Continuity is an AI-powered radiology reporting platform designed to streamline workflows and reduce radiologist burnout by automating report generation and enhancing clinical accuracy.

Description

Rad AI Continuity leverages artificial intelligence to assist radiologists in generating comprehensive and accurate reports efficiently. By integrating with existing radiology systems, it automates routine tasks, allowing clinicians to focus more on patient care. The platform is developed in collaboration with Google Cloud, utilizing advanced AI models to improve reporting quality and consistency. This partnership aims to reduce administrative burdens and enhance the overall quality of patient care.

Api Available

unknown

Certifications

• SOC 2 Type II

Company Founding

2019

Company Offices

• United States

Compliance

• HIPAA
• SOC 2 Type II

Customers

• Ambulatory Practice
• Imaging Labs
• Hospital / Health System

Data Residency

US/EU regions

Data Standards

• HL7
• FHIR
• DICOM

Deployment Model

• SaaS

Features

• Automated detection and categorization of follow-up recommendations from radiology reports using proprietary AI models
• Automated communication with providers and patients when clinically appropriate
• Automated closure of follow-up loops to drive better patient outcomes and increased ROI
• Integration with existing EHR and RIS systems for seamless workflow
• Centralized dashboard for comprehensive visibility and tracking of follow-ups
• Real-time status updates triggered by HL7 messages
• Automated SMS, direct mail, and EHR messaging to contact patients
• Automated EHR messaging or fax to contact providers
• Comprehensive audit trail for tracking program progress and maintaining quality control

Id

SW2114

Integration Partners

• PACS systems
• RIS systems
• EHRs

Integrations

• EHR
• RIS
• HL7

Languages Supported

• English

Last Updated

2025-10-11

License

commercial

Market Segment

• enterprise
• smb

Optional Modules

Os Platforms

• Web

Pricing Details

contact vendor

Pricing Model

subscription

Privacy Features

• BAA available
• Consent management
• Anonymization
• Data minimization

Product Code

SW2114

Product Name

Rad AI Continuity

Ratings

• 4.5/5 on G2
• 4.7/5 on Capterra
• 4.8/5 on HealthTechReviews.com

Regions Available

• United States

Related Urls

• https://elion.health/products/rad-ai-continuity

Release Year

2020

Security Features

• Encryption
• RBAC
• SSO/SAML
• Audit logs
• 2FA

Specialties

• Radiology

Support Channels

• email
• phone
• chat
• ticketing
• community
• 24x7

System Requirements

Target Users

• clinicians
• radiologists
• admins

Training Options

• documentation
• webinars
• live_online
• onsite
• certification

Type

product

User Reviews

• Rad AI Continuity has significantly improved our radiology department's efficiency by automating reporting and follow-up workflows.
• The integration with our existing PACS and RIS systems was seamless, and the AI-generated impressions are highly accurate.
• Patient outcomes have improved due to better management of imaging results and timely follow-ups.

Version

1.0

Alternatives

See related products

Canonical JSON

{
  "product_name": "Rad AI Continuity",
  "company_name": "Rad AI",
  "product_url": "https://rad.ai/continuity",
  "company_url": "https://rad.ai",
  "related_urls": [
    "https://elion.health/products/rad-ai-continuity"
  ],
  "product_code": "SW2114",
  "summary": "Rad AI Continuity is an AI-powered radiology reporting platform designed to streamline workflows and reduce radiologist burnout by automating report generation and enhancing clinical accuracy.",
  "description": "Rad AI Continuity leverages artificial intelligence to assist radiologists in generating comprehensive and accurate reports efficiently. By integrating with existing radiology systems, it automates routine tasks, allowing clinicians to focus more on patient care. The platform is developed in collaboration with Google Cloud, utilizing advanced AI models to improve reporting quality and consistency. This partnership aims to reduce administrative burdens and enhance the overall quality of patient care.",
  "categories": [
    "clinical Care",
    "diagnostic Support",
    "administrative Operations",
    "Clinical",
    "Diagnostic",
    "Administrative"
  ],
  "market_segment": [
    "enterprise",
    "smb"
  ],
  "target_users": [
    "clinicians",
    "radiologists",
    "admins"
  ],
  "specialties": [
    "Radiology"
  ],
  "regions_available": [
    "United States"
  ],
  "languages_supported": [
    "English"
  ],
  "pricing_model": "subscription",
  "pricing_details": "contact vendor",
  "license": "commercial",
  "company_offices": [
    "United States"
  ],
  "company_founding": "2019",
  "deployment_model": [
    "SaaS"
  ],
  "os_platforms": [
    "Web"
  ],
  "features": [
    "Automated detection and categorization of follow-up recommendations from radiology reports using proprietary AI models",
    "Automated communication with providers and patients when clinically appropriate",
    "Automated closure of follow-up loops to drive better patient outcomes and increased ROI",
    "Integration with existing EHR and RIS systems for seamless workflow",
    "Centralized dashboard for comprehensive visibility and tracking of follow-ups",
    "Real-time status updates triggered by HL7 messages",
    "Automated SMS, direct mail, and EHR messaging to contact patients",
    "Automated EHR messaging or fax to contact providers",
    "Comprehensive audit trail for tracking program progress and maintaining quality control"
  ],
  "optional_modules": [],
  "integrations": [
    "EHR",
    "RIS",
    "HL7"
  ],
  "data_standards": [
    "HL7",
    "FHIR",
    "DICOM"
  ],
  "api_available": "unknown",
  "system_requirements": "",
  "compliance": [
    "HIPAA",
    "SOC 2 Type II"
  ],
  "certifications": [
    "SOC 2 Type II"
  ],
  "security_features": [
    "Encryption",
    "RBAC",
    "SSO/SAML",
    "Audit logs",
    "2FA"
  ],
  "privacy_features": [
    "BAA available",
    "Consent management",
    "Anonymization",
    "Data minimization"
  ],
  "data_residency": "US/EU regions",
  "customers": [
    "Ambulatory Practice",
    "Imaging Labs",
    "Hospital / Health System"
  ],
  "user_reviews": [
    "Rad AI Continuity has significantly improved our radiology department's efficiency by automating reporting and follow-up workflows.",
    "The integration with our existing PACS and RIS systems was seamless, and the AI-generated impressions are highly accurate.",
    "Patient outcomes have improved due to better management of imaging results and timely follow-ups."
  ],
  "ratings": [
    "4.5/5 on G2",
    "4.7/5 on Capterra",
    "4.8/5 on HealthTechReviews.com"
  ],
  "support_channels": [
    "email",
    "phone",
    "chat",
    "ticketing",
    "community",
    "24x7"
  ],
  "training_options": [
    "documentation",
    "webinars",
    "live_online",
    "onsite",
    "certification"
  ],
  "release_year": "2020",
  "integration_partners": [
    "PACS systems",
    "RIS systems",
    "EHRs"
  ],
  "id": "SW2114",
  "slug": "rad-ai-continuity",
  "type": "product",
  "version": "1.0",
  "last_updated": "2025-10-11",
  "links_json": {
    "self": "https://www.healthaidb.com/software/rad-ai-continuity.json"
  }
}