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Description

Artrya collaborates with healthcare facilities that treat chest pain patients to introduce innovative cardiovascular care models powered by artificial intelligence. This approach seamlessly incorporates high-prognostic plaque characteristics into the assessment of coronary artery disease. It enables swift evaluations of chest pain patients in both emergency and primary care environments. Our vision is a society free from the burden of heart attacks. Leveraging AI-generated insights from coronary computed tomography angiography (CCTA), we can rapidly and accurately classify chest pain patients based on the type and quantity of arterial plaque identified. This allows for quick identification of individuals with little to no coronary artery disease, ensuring that no underlying plaque issues could lead to significant cardiac events in the future. By recognizing early indicators of potential heart attacks, we can effectively confirm at-risk patients with acute or unusual chest pain who may require additional investigation and treatment. Ultimately, this advancement aims to enhance patient outcomes and foster a healthier community.

Description

Verana Health operates as a platform for real-world data that converts both structured and unstructured information from electronic health records into curated, de-identified, disease-focused data modules through its clinician-informed and AI-enhanced VeraQ population health data engine. By aggregating data from key collaborations with prominent medical registries, including the American Academies of Ophthalmology, Neurology, and Urological Association, the platform integrates insights from over 20,000 clinicians and approximately 90 million patient records, thereby supplying high-quality datasets in near real-time for the purposes of generating real-world evidence, identifying clinical trial sites and subjects, reporting clinician quality, and managing medical registries. Users can access this wealth of information through cloud services like AWS Data Exchange and Amazon Redshift, which provide self-service API access, a user-friendly dashboard, and tools for customizable cohort discovery. Furthermore, the system employs advanced AI and machine learning algorithms along with comprehensive data quality assessments to ensure the reliability and accuracy of the information provided. This innovative approach not only facilitates efficient data utilization but also enhances the overall quality of healthcare research and practice.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

AWS Data Exchange No 
Amazon Redshift No 

Integrations

AWS Data Exchange Yes 
Amazon Redshift Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

Artrya

Country

Australia

Website

www.artrya.com

Vendor Details

Company Name

Verana Health

Country

United States

Website

veranahealth.com

Product Features

Product Features

Population Health Management (PHM)

Analytics No 
Cost-of-Care Analysis No 
Data Storage No 
EMR/EHR Integration No 
Patient Engagement No 
Patient Identification No 
Patient Risk Stratification No 
Patient-Reported Outcomes No 
Payment Bundling No 
Predictive Alerts No 
Test & Treatment Reminders No 
Utilization Tracking No 

Alternatives

Alternatives

AxiomEHR Reviews

AxiomEHR

HiMS