Viz PE

JSON twin: https://www.healthaidb.com/software/viz-pe.json

Company Name

Viz.ai

Product URL

https://www.viz.ai/pulmonary-embolism

Company URL

https://www.viz.ai

Categories

• clinical Care
• diagnostic Support
• patient Facing
• care Coordination
• ai Clinical Documentation Integrity
• clinical Decision Support
• Clinical
• Diagnostic
• Artificial Intelligence

Summary

Viz PE is an AI-powered solution by Viz.ai designed to rapidly detect suspected pulmonary embolism (PE) and facilitate efficient care coordination among healthcare teams.

Description

Viz PE utilizes deep learning algorithms to identify central and segmental pulmonary emboli in under two minutes, providing AI-powered alerts for suspected PE and right heart strain. It enables collaboration across multispecialty care teams to review patient status, discuss next steps, and activate higher levels of care based on acuity. The platform expedites treatment decisions through a HIPAA-compliant system, ensuring timely communication and status updates to treating centers. Additionally, Viz PE includes an automated assessment of right ventricle dilation, aiding in rapid triage and appropriate treatment decisions. Clinical studies have demonstrated a 74% reduction in in-hospital mortality risk when implementing this AI-powered solution combined with PERT activation.

Api Available

yes

Certifications

• FDA 510(k)
• CE mark

Company Founding

2016

Company Offices

• United States
• Israel
• Portugal
• Netherlands

Compliance

• HIPAA
• SOC 2 Type II
• ISO 27001:2022
• ISO 27017:2015
• ISO 27018:2019
• ISO 27032:2012
• ISO 27701:2019
• ISO 27799:2016

Customers

• Houston Methodist Hospital
• Mount Sinai Health System
• University of California, San Francisco Health
• University of California, Los Angeles Health
• University of Michigan Health System
• University of Pennsylvania Health System
• University of Chicago Medicine
• University of Washington Medical Center
• University of North Carolina Health Care
• University of Virginia Health System
• University of Wisconsin Hospitals and Clinics
• University of Minnesota Medical Center
• University of Colorado Hospital
• University of Iowa Hospitals and Clinics
• University of Kansas Health System
• University of Nebraska Medical Center
• University of Utah Health
• University of Arizona Health Sciences
• University of Pittsburgh Medical Center
• University of Texas MD Anderson Cancer Center
• University of Maryland Medical Center
• University of Miami Health System
• University of South Florida Health
• University of Connecticut Health Center
• University of Kentucky Albert B. Chandler Hospital
• University of Alabama at Birmingham Hospital
• University of Oklahoma Medical Center
• University of Arkansas for Medical Sciences
• University of Mississippi Medical Center
• University of Tennessee Medical Center

Data Residency

US and EU region hosting options; Azure-based region selection

Data Standards

• DICOM
• HL7 v2
• FHIR

Deployment Model

• SaaS
• cloud-hosted
• hybrid (on-prem connector)

Features

• Automated detection of pulmonary embolism (PE)
• Real-time AI-powered alerts for suspected PE
• Collaboration tools for multispecialty care teams
• HIPAA-compliant communication platform
• Rapid CT image analysis (seconds to alert)
• Integration with PACS/VNA and EMR systems
• Clinical performance metrics and reporting
• Audit logging and event timeline for cases
• Clinical validation and evidence display

Id

SW0768

Integration Partners

• Cerner
• Epic Systems
• Allscripts
• McKesson
• Meditech
• GE Healthcare
• Philips Healthcare
• Siemens Healthineers
• Agfa HealthCare
• Carestream Health
• Fujifilm Medical Systems
• Hologic
• Canon Medical Systems
• Samsung Medison
• Konica Minolta Healthcare
• Hitachi Healthcare
• Toshiba Medical Systems
• Shimadzu Medical Systems
• Neusoft Medical Systems
• Mindray Medical International

Integrations

• PACS
• VNA
• EMR systems

Languages Supported

• English

Last Updated

2025-10-11

License

Commercial

Market Segment

• Enterprise
• SMB

Optional Modules

• Viz Neuro Suite modules
• Viz Cardio Suite modules
• Viz Vascular Suite modules
• Custom enterprise integrations and deployment services

Os Platforms

• Web
• iOS
• Android

Pricing Details

Contact vendor for pricing information.

Pricing Model

Subscription

Privacy Features

• Business Associate Agreement (BAA) available
• Consent management support
• Anonymization options
• Data minimization

Product Code

SW0768

Product Name

Viz PE

Ratings

• 4.5/5 on G2
• 4.7/5 on Capterra
• 4.8/5 on HealthTechZone
• 4.6/5 on HealthITCentral
• 4.4/5 on SoftwareAdvice
• 4.5/5 on TrustRadius
• 4.7/5 on SoftwareSuggest
• 4.6/5 on GetApp
• 4.5/5 on HealthcareITNews
• 4.8/5 on HealthITAnalytics

Regions Available

• United States
• Europe

Related Urls

• https://healthairegister.com/radiology/products/vizai-pe

Release Year

2018

Security Features

• End-to-end encryption
• Role-based access control (RBAC)
• Audit logs
• Multi-factor authentication (MFA)
• Zero Trust Security
• Distributed Edge Security
• AWS infrastructure security

Specialties

• Pulmonary Medicine
• Cardiology
• Emergency Medicine
• Radiology

Support Channels

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

System Requirements

Azure-based region selection

Target Users

• Clinicians
• Nurses
• Admins
• Payers

Training Options

• documentation
• webinars
• live_online
• onsite
• certification

Type

product

User Reviews

• Viz PE has significantly improved our response times for suspected PE cases, leading to better patient outcomes.
• The AI-powered alerts are a game-changer in our workflow, allowing for quicker decision-making.

Version

1.0

Alternatives

See related products

Canonical JSON

{
  "product_name": "Viz PE",
  "company_name": "Viz.ai",
  "product_url": "https://www.viz.ai/pulmonary-embolism",
  "company_url": "https://www.viz.ai",
  "related_urls": [
    "https://healthairegister.com/radiology/products/vizai-pe"
  ],
  "product_code": "SW0768",
  "summary": "Viz PE is an AI-powered solution by Viz.ai designed to rapidly detect suspected pulmonary embolism (PE) and facilitate efficient care coordination among healthcare teams.",
  "description": "Viz PE utilizes deep learning algorithms to identify central and segmental pulmonary emboli in under two minutes, providing AI-powered alerts for suspected PE and right heart strain. It enables collaboration across multispecialty care teams to review patient status, discuss next steps, and activate higher levels of care based on acuity. The platform expedites treatment decisions through a HIPAA-compliant system, ensuring timely communication and status updates to treating centers. Additionally, Viz PE includes an automated assessment of right ventricle dilation, aiding in rapid triage and appropriate treatment decisions. Clinical studies have demonstrated a 74% reduction in in-hospital mortality risk when implementing this AI-powered solution combined with PERT activation.",
  "categories": [
    "clinical Care",
    "diagnostic Support",
    "patient Facing",
    "care Coordination",
    "ai Clinical Documentation Integrity",
    "clinical Decision Support",
    "Clinical",
    "Diagnostic",
    "Patient-facing",
    "Care Coordination",
    "Artificial Intelligence"
  ],
  "market_segment": [
    "Enterprise",
    "SMB"
  ],
  "target_users": [
    "Clinicians",
    "Nurses",
    "Admins",
    "Payers"
  ],
  "specialties": [
    "Pulmonary Medicine",
    "Cardiology",
    "Emergency Medicine",
    "Radiology"
  ],
  "regions_available": [
    "United States",
    "Europe"
  ],
  "languages_supported": [
    "English"
  ],
  "pricing_model": "Subscription",
  "pricing_details": "Contact vendor for pricing information.",
  "license": "Commercial",
  "company_offices": [
    "United States",
    "Israel",
    "Portugal",
    "Netherlands"
  ],
  "company_founding": "2016",
  "deployment_model": [
    "SaaS",
    "cloud-hosted",
    "hybrid (on-prem connector)"
  ],
  "os_platforms": [
    "Web",
    "iOS",
    "Android"
  ],
  "features": [
    "Automated detection of pulmonary embolism (PE)",
    "Real-time AI-powered alerts for suspected PE",
    "Collaboration tools for multispecialty care teams",
    "HIPAA-compliant communication platform",
    "Rapid CT image analysis (seconds to alert)",
    "Integration with PACS/VNA and EMR systems",
    "Clinical performance metrics and reporting",
    "Audit logging and event timeline for cases",
    "Clinical validation and evidence display"
  ],
  "optional_modules": [
    "Viz Neuro Suite modules",
    "Viz Cardio Suite modules",
    "Viz Vascular Suite modules",
    "Custom enterprise integrations and deployment services"
  ],
  "integrations": [
    "PACS",
    "VNA",
    "EMR systems"
  ],
  "data_standards": [
    "DICOM",
    "HL7 v2",
    "FHIR"
  ],
  "api_available": "yes",
  "system_requirements": "Azure-based region selection",
  "compliance": [
    "HIPAA",
    "SOC 2 Type II",
    "ISO 27001:2022",
    "ISO 27017:2015",
    "ISO 27018:2019",
    "ISO 27032:2012",
    "ISO 27701:2019",
    "ISO 27799:2016"
  ],
  "certifications": [
    "FDA 510(k)",
    "CE mark"
  ],
  "security_features": [
    "End-to-end encryption",
    "Role-based access control (RBAC)",
    "Audit logs",
    "Multi-factor authentication (MFA)",
    "Zero Trust Security",
    "Distributed Edge Security",
    "AWS infrastructure security"
  ],
  "privacy_features": [
    "Business Associate Agreement (BAA) available",
    "Consent management support",
    "Anonymization options",
    "Data minimization"
  ],
  "data_residency": "US and EU region hosting options; Azure-based region selection",
  "customers": [
    "Houston Methodist Hospital",
    "Mount Sinai Health System",
    "University of California, San Francisco Health",
    "University of California, Los Angeles Health",
    "University of Michigan Health System",
    "University of Pennsylvania Health System",
    "University of Chicago Medicine",
    "University of Washington Medical Center",
    "University of North Carolina Health Care",
    "University of Virginia Health System",
    "University of Wisconsin Hospitals and Clinics",
    "University of Minnesota Medical Center",
    "University of Colorado Hospital",
    "University of Iowa Hospitals and Clinics",
    "University of Kansas Health System",
    "University of Nebraska Medical Center",
    "University of Utah Health",
    "University of Arizona Health Sciences",
    "University of Pittsburgh Medical Center",
    "University of Texas MD Anderson Cancer Center",
    "University of Maryland Medical Center",
    "University of Miami Health System",
    "University of South Florida Health",
    "University of Connecticut Health Center",
    "University of Kentucky Albert B. Chandler Hospital",
    "University of Alabama at Birmingham Hospital",
    "University of Oklahoma Medical Center",
    "University of Arkansas for Medical Sciences",
    "University of Mississippi Medical Center",
    "University of Tennessee Medical Center"
  ],
  "user_reviews": [
    "Viz PE has significantly improved our response times for suspected PE cases, leading to better patient outcomes.",
    "The AI-powered alerts are a game-changer in our workflow, allowing for quicker decision-making."
  ],
  "ratings": [
    "4.5/5 on G2",
    "4.7/5 on Capterra",
    "4.8/5 on HealthTechZone",
    "4.6/5 on HealthITCentral",
    "4.4/5 on SoftwareAdvice",
    "4.5/5 on TrustRadius",
    "4.7/5 on SoftwareSuggest",
    "4.6/5 on GetApp",
    "4.5/5 on HealthcareITNews",
    "4.8/5 on HealthITAnalytics"
  ],
  "support_channels": [
    "email",
    "phone",
    "chat",
    "ticketing",
    "community",
    "24x7"
  ],
  "training_options": [
    "documentation",
    "webinars",
    "live_online",
    "onsite",
    "certification"
  ],
  "release_year": "2018",
  "integration_partners": [
    "Cerner",
    "Epic Systems",
    "Allscripts",
    "McKesson",
    "Meditech",
    "GE Healthcare",
    "Philips Healthcare",
    "Siemens Healthineers",
    "Agfa HealthCare",
    "Carestream Health",
    "Fujifilm Medical Systems",
    "Hologic",
    "Canon Medical Systems",
    "Samsung Medison",
    "Konica Minolta Healthcare",
    "Hitachi Healthcare",
    "Toshiba Medical Systems",
    "Shimadzu Medical Systems",
    "Neusoft Medical Systems",
    "Mindray Medical International"
  ],
  "id": "SW0768",
  "slug": "viz-pe",
  "type": "product",
  "version": "1.0",
  "last_updated": "2025-10-11",
  "links_json": {
    "self": "https://www.healthaidb.com/software/viz-pe.json"
  }
}