The imaging division at John Muir Health in California’s Contra Costa County has been supplying topnotch image-handling capabilities to end users located across the system’s sprawling family tree—three hospitals, seven outpatient imaging centers, a 1,000-plus physician network and a dozen or so sites providing outpatient, urgent-care and surgery services—since 2001. That’s when Sectra PACS entered the picture for the Walnut Creek-based organization.

By attempting to shatter the status quo and shift toward value-based care, the radiology industry is, in a way, sacrificing today’s monetary gains for a better tomorrow. It’s a smart, impressively noble move, but one that hasn’t been easy—and likely won’t get much easier in the immediate future. 

For the team at the Froedtert Health and the Medical College of Wisconsin (FH and MCW) in Milwaukee, Conserus Workflow Intelligence is the solution that keeps on giving.

In 2011, officials at Alberta Health Services made a startling discovery. A number of CT studies in a rural community had been misinterpreted, raising questions about patient care.

Digital breast tomosynthesis is no longer just a buzzworthy technology among imaging experts; patients have gotten word and are now increasingly demanding access from their local providers.

The pressures on providers in an era of evolving payment models and ever-evolving technology could not be more demanding. In order to be successful, providers will need strong solutions from their technology partners.

Often lost amid all the talk of U.S. healthcare’s volume-to-value transformation is the plain and simple truth that volume doesn’t stop mattering just because value matters more than it did before. This is especially germane to provider organizations caring for patients at the population level.

MINNEAPOLIS, MN—(December 8, 2015) vRad (Virtual Radiologic), an affiliate of MEDNAX, Inc. (NYSE: MD) and the leading national teleradiology services and telemedicine company, has successfully reached a critical milestone outlined as part of its commitment to the growing branch of artificial intelligence known as “Deep Learning” announced in June 2015.