In the world of emergency radiology, seconds matter. When a patient arrives at the hospital with stroke symptoms, radiologists need immediate access to brain scans to determine whether life-saving intervention is possible. Any delay in image retrieval could mean the difference between recovery and permanent disability.
Tom Hasley, CIO of LucidHealth, knows this reality intimately. Leading one of the nation's largest radiology service providers, Hasley oversees technology that supports over 300 radiologists reading close to five million studies annually across healthcare facilities in Ohio, Wisconsin, West Virginia, Iowa, Florida, and Connecticut.
"When you're looking at cases like stroke studies, having high-performance systems is critical, because there's important decisions that need to be made," says Hasley, whose 25-year career has spanned the evolution from film X-rays to AI-powered diagnostics.
By 2022, LucidHealth faced a crisis that threatened this mission-critical workflow. Years of acquisitions had created a patchwork of aging, disparate storage systems struggling under 40% annual data growth. The organization's nearly a petabyte of imaging data, some dating back decades, was becoming increasingly difficult to access quickly and reliably.
"Putting together too many disparate systems just made it harder to manage," recalls Hasley. "We needed something that was highly available and high-speed because we deal with radiology images."
The stakes were high because slow image retrieval meant delayed diagnoses, frustrated radiologists, and potentially compromised patient care.