News | November 22, 2013

Montage Healthcare and Mammography Reporting Systems to Show Initial Results of Partnership at RSNA 2013

Including mammography risk information in diagnosis-driven analytics expands support for the transition to value-based imaging

Montage Search and Analytics, Montage, mammography, mammography analytics

Montage Search and Analytics clinical dashboard

November 22, 2013 – Montage Healthcare Solutions and Mammography Reporting Systems (MRS), will be demonstrating the initial results of their previously announced partnership at the upcoming RSNA 2013 Scientific Assembly and Annual Meeting. 

MRS7 users can now utilize Montage Search and Analytics to mine the mammography specific clinical imaging, biopsy, and therapy information stored in the MRS system. The ability to correlate this structured and unstructured information with the patients’ imaging record will greatly enhance mammography quality improvement efforts, and the shift towards value-based imaging. A radiologist using Montage to uncover clinical information that facilitates imaging appropriateness, ensures patient safety, or aids diagnosis will benefit from access to the unstructured clinical narrative, as will managers looking to understand the relationship between imaging protocols, clinical findings, therapy, and outcomes. 

“Breast imaging already receives a significant clinical quality scrutiny, from the Mammography Quality Standards Act (MQSA). Extending Montage Search and Analytics mining and analysis, to the unique information managed by MRS7, provides exciting opportunities for caregivers to further enhance breast imaging quality,” says William Boonn, M.D., President of Montage Healthcare Solutions. “This will become increasingly important as radiology shifts from volume-based to quality-based imaging.” 

MRS currently provides numerous breast imaging specific reporting, quality assurance and risk management tools that help facilities meet stringent MSQA and ACR accreditation standards. “We recognized that Montage Healthcare shares the vision of not only MRS but also our customers for continuous clinical quality improvement, whether mandated or not,” says Mark P. Morris, CEO at Mammography Reporting Systems. “We feel strongly that our partnership will enable our customers to more comprehensively manage their clinical quality improvement efforts, through not only the existing MRS database reporting functions but also the sophisticated analysis tools included in Montage Search and Analytics.” 

Please arrange to visit Montage Healthcare in booth 1905, and schedule a demonstration with Mammography Reporting Systems in booth 2402, at the upcoming RSNA 2013 Scientific Assembly and Annual Meeting. 

For more information, visit: www.montagehealthcare.com and www.mrsys.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...
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.,
Uterine Fibroid Embolization Safer and as Effective as Surgical Treatment
News | Interventional Radiology | April 05, 2019
Uterine fibroid embolization (UFE) effectively treats uterine fibroids with fewer post-procedure complications compared...
iCAD Highlighting ProFound AI for Tomosynthesis at 2019 SBI Annual Symposium
News | Computer-Aided Detection Software | April 04, 2019
iCAD announced it will present its latest artificial intelligence (AI) software solution for digital breast...