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What is Volpara Health?

Volpara Health software is employed by numerous facilities, including top cancer screening centers across the United States, to aid in the early identification of breast cancer. Mammography technologists rely on this innovative software to improve the quality of mammograms significantly. Acknowledged as the most scientifically validated tool for screening in the breast health arena, Volpara provides critical evidence at pivotal moments. It grants access to detailed patient information, leading to more precise evaluations of breast cancer risk. Each image processed not only contributes to immediate assessments but also helps refine our algorithms for early disease detection in the long term. Your involvement is vital in advocating for further screening or genetic testing for patients. The platform supports the design of customized worklists and reports tailored to specific preferences. Users can conveniently access statistics and lists through a unified interface, streamlining the workflow. Standardized communication across patients, referrers, and insurers fosters clarity and consistency throughout the process. Additionally, it improves the presentation of result letters by including thumbnail images of mammograms, which enhances the engagement and informativeness of the content. This comprehensive strategy ultimately leads to improved patient care and better outcomes in breast health, paving the way for advancements in the field.

What is ART Compass?

We are proud to unveil an innovative method for integrating artificial intelligence into in vitro fertilization (IVF) directly within care facilities. This advancement redefines the role of extensive image and text data in enhancing business intelligence in reproductive medicine. Our dedicated team comprises top experts in AI, IVF lab quality oversight, and digital technologies, collaborating to create a customized platform that boasts the world's largest open-source image database for assessing embryology and andrology skills. The ART Compass is set to redefine IVF Lab Information Management Systems (LIMS) by employing AI to optimize quality management in IVF laboratories via a user-friendly smartphone application. It supports the evaluation of competency in embryology and andrology, aids in clinical decision-making, and offers access to yearly procedure review forms. In addition, it provides a framework for documenting new procedure training, onboarding new personnel, monitoring pregnancy outcomes for each IVF cycle with comprehensive statistics, managing patient cryostorage inventories, and effectively relaying preimplantation genetic testing (PGT) results to healthcare providers. With its extensive functionalities, this all-encompassing system is on track to transform IVF processes while significantly enhancing patient care and outcomes. As we move forward, the potential for improvement in reproductive health through this technology becomes increasingly evident.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Volpara Health

Date Founded

2009

Company Location

New Zealand

Company Website

www.volparahealth.com

Company Facts

Organization Name

ART Compass

Date Founded

2018

Company Location

United States

Company Website

artcompass.io

Categories and Features

Categories and Features

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