We all know that imaging data is growing at an unprecedented pace with AI accelerating the curve. For healthcare organizations, this means more pressures on storage, infrastructure, performance and long-term planning. Our panel of imaging leaders will introduce a new model that rethinks how imaging data is stored and accessed, with the goal of supporting both innovation and cost predictability. 

We all know that imaging data is growing at an unprecedented pace with AI accelerating the curve. For healthcare organizations, this means more pressures on storage, infrastructure, performance and long-term planning. Our panel of imaging leaders will introduce a new model that rethinks how imaging data is stored and accessed, with the goal of supporting both innovation and cost predictability. 

Five years ago, two key takeaways from a survey of their pathologists sent NorthShore University HealthSystem toward the front lines of a technological revolution: digital pathology.

The team almost unanimously agreed that, first, it was time to consider AI as an aid to microscopic tissue analysis. And second, 73% wanted the flexibility to work remotely at another site or at home, at least sometimes, via telepathology.

It was about 2000 when Yale pathologist John Sinard, MD, PhD, first heard the prediction. “In five years, we won’t be using microscopes,” a respected peer quipped. “We’ll be examining all our slides as digitized images on computer monitors.”

Nearly a quarter-century later, Sinard reports: “I’m at my workstation, and my microscope is sitting right here next to me.”

With more than 7 million digitized slides on hand, the pathology department at Memorial Sloan Kettering Cancer Center in New York City represents one of the largest repositories of whole slide images in the world. It’s no surprise the library is so large, as it’s been accruing new images since 2008. And with total case volumes exceeding one million slide reads per year, the inventory continues to grow at that scale.

Listen in to see how Wake Radiology UNC Rex, a leading imaging group in the 4^th fastest growing metro area in the U.S., boosted their speed and infrastructure to take care of more patients. Radiologists are happier, IT is too—and so was the board that saved money. Learn how they did it – and grab some tips for your next IT project. 

Radiology Associates of Venice and Englewood (RaVE) needed a storage-re up to support huge growth in imaging exams and image volume per exam, a growing and graying patient base and their remote and onsite radiologists having access to all images instantly. Here’s how they did it—and had the solution installed in less than a week.

AI is not part of their current plans (36%), more than quarter (27%) are assessing and planning to deploy AI in the future and 23% are advanced and proficient with AI. Read more