Register Now: Image-Based Risk: The Next Frontier in Breast Cancer Screening
|Articles|November 6, 1996

Lockheed Martin scores VA PACS contracts

PACS vendor Lockheed Martin Western Development Laboratories MedicalImaging Systems appears to have a hammerlock on PACS contractsat hospitals operated by the Department of Veterans Affairs. TheHoffman Estates, IL, company last month announced that it

PACS vendor Lockheed Martin Western Development Laboratories MedicalImaging Systems appears to have a hammerlock on PACS contractsat hospitals operated by the Department of Veterans Affairs. TheHoffman Estates, IL, company last month announced that it hadwon three contracts worth a total of $4.6 million to install PACSat VA facilities.

Lockheed Martin has been a favorite of the VA since its earlierdays as Loral Medical Imaging Systems. Lockheed Martin is theprimary contractor on the Medical Diagnostic Imaging Support contract.The company also won $7.8 million in VA contracts last year.

Under last month's contracts, Lockheed Martin will installits Vantage medical image and information management systems atthree facilities. The projects involve:

** installing nine workstations at New Orleans VA Medical Center,a 470-bed hospital;

** connecting 14 VA hospitals in New York and New Jersey overa teleradiology wide area network; and

** installing seven workstations at Columbus VA Hospital inOhio.


Related to this article

Emerging Research Insights and New Advances in Neuroradiology
Catch up on key neuroradiology news and research from the past month, including recently published studies involving white matter hyperintensity findings on brain MRI, MRI-enhanced amyloid PET and the newly FDA-approved PET agent floretyrosine F18 for glioma imaging.
Current Perspectives on Integrating AI into Radiology
In a recent interview with Diagnostic Imaging, Joseph Cavallo, MD, MBA, offered insights on post-deployment monitoring with AI, the potential for improved workflow efficiency and the ongoing challenge of balancing essential clinical skills and AI literacy in the training of radiology residents and fellows.