Technology | February 11, 2014

Digisonics Showcases Newest Functionality for OB/GYN PACS, Structured Reporting

Digisonics OB-View 4.8 OB/GYN PACS Women's Health
February 11, 2014 — Digisonics showcased OB 4.8for its OB/GYN PACS and structured reporting system at the 2014 Society for Maternal-Fetal Medicine Annual Meeting in New Orleans, La. The Digisonics system is standards-based and vendor-neutral, combining DICOM image review, structured reporting, an integrated clinical database and PACS image archive into one solution for OB/GYN studies.
 
??Digisonics’ OB 4.8 introduces new functionality in OB/GYN PACS and structured reporting system including imaging, reporting, fetal growth analysis and interfacing with third party applications. Reporting enhancements in this release were designed to reduce human input error, enhance workflow and fulfill current AIUM accreditation standards and reporting guidelines. 
 
Digisonics also showcased its applications, WebView 4.0 and DigiConnect. WebView 4.0 provides zero footprint image and report review from any HTML5 capable browser or operating system. DigiConnect launches external applications such as third party EMR/HIS or radiology viewers as well as local or web-based applications. It does so using the default web browser from the Digisonics OB ultrasound reporting workstation.  
 
Digisonics provides clinical image management and structured reporting systems for cardiovascular (CVIS), radiology and obstetrics & gynecology. 
 
For more information: www.digisonics.com

Related Content

In a demonstration on the exhibit floor of the SBI symposium, Koios software identified suspicious lesions in ultrasound images

In a demonstration on the exhibit floor of the SBI symposium, Koios software identified suspicious lesions in ultrasound images. Photo by Greg Freiherr

Feature | Artificial Intelligence | April 19, 2019 | By Greg Freiherr
Commercial efforts to develop...
Videos | Breast Imaging | April 18, 2019
In a keynote lecture at the Society of Breast Imaging (SBI)/American College of Radiology (ACR) 2019 Symposium, ...
Fatty tissue and breast density may be considered in the context of many factors that affect the occurrence and detection of breast cancer

Fatty tissue and breast density may be considered in the context of many factors that affect the occurrence and detection of breast cancer. Permission to publish provided by DenseBreast-info.org

Feature | Breast Imaging | April 18, 2019 | By Greg Freiherr
When planning a screening program to detect the early signs of breast cancer, age is a major consideration.
iCAD Appoints Stacey Stevens as President
News | Radiology Business | April 16, 2019
iCAD Inc. recently announced that Stacey Stevens has been named president. As president, Stevens will have expanded...
compressed breast during mammography.
360 Photos | 360 View Photos | April 16, 2019
A 360 view of a simulated breast compression for a...
Cambridge University Hospitals NHS Foundation Trust Implements Change Healthcare Enterprise Imaging
News | Enterprise Imaging | April 15, 2019
Change Healthcare successfully implemented its Radiology PACS (picture archiving and communication system), Image...
A smart algorithm has been trained on a neural network to recognize the appearance of breast cancer in MR images

A smart algorithm has been trained on a neural network to recognize the appearance of breast cancer in MR images. The algorithm, described at the SBI/ACR Breast Imaging Symposium, used “Deep Learning,“ a form of machine learning, which is a type of artificial intelligence. Graphic courtesy of Sarah Eskreis-Winkler, M.D.

Feature | Artificial Intelligence | April 12, 2019 | By Greg Freiherr
The use of smart algorithms has the potential to make healthcare more efficient.
This image depicts ABUS images with QVCAD results

This image depicts ABUS images with QVCAD results.

Feature | Breast Imaging | April 12, 2019
Imaging Technology News spoke with Bob Foley, vice president of sales and marketing of QView Medical, Inc.,