Case Studies

ENDEX data standardization ensures your medical images are correct, complete, and consistently labeled so that workflows such as radiologist reporting, AI orchestration and cohort development happens efficiently. Hanging protocols will work, worklists will be accurate, and staff will be productive.

A recent 2024 PocketHealth survey of 202 U.S. hospital and imaging center decision-makers highlights the significant challenges healthcare providers face with legacy image exchange systems. The survey and conversations with industry leaders reveal that these outdated solutions impact both operational efficiency and patient satisfaction, often resulting in additional workload and increased costs.

Physicians and researchers complete thousands of clinical trials each year, but some findings prove far more significant than others. For cardiologist Dharmesh Patel, MD, the results of the SMART trial have changed the way he’s managing and recommending treatment for women with symptomatic severe aortic stenosis.

Some of the most talked about data at ACC.24 were the results of a late-breaking clinical trial comparing different transcatheter aortic valve replacement (TAVR) valves in patients with a small aortic annulus. 

The Value Realization Pyramid helps healthcare providers maximize tech investments through quality data, efficient workflows, and data-driven decisions. It emphasizes data accuracy, workflow optimization, and executive empowerment for improved data quality and strategic planning. 

The Value Realization Pyramid is designed to help healthcare providers derive value from their technological investments by leveraging high-quality data. It emphasizes standardized data driving efficient workflows enterprise-wide. Executives are empowered to make data-driven decisions and can optimize operations and achieve strategic goals.

Munster, Indiana, is a thriving suburb 30 miles south of the heart of Chicago. It’s a place where the locals like to stay local, especially when it comes to healthcare. Patients in the area often turn to 454-bed Community Hospital, one of three acute-care hospitals part of Powers Health. 

Data has become the new currency driving innovation and progress across various industries. However, data monetization is perceived as a taboo subject, something full of ethical concerns and privacy issues. We’d like to challenge this notion and explore how data monetization can be a force for good.

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.

Remember when X-ray abandoned cumbersome film once sleek digital suitors showed up? It happened little by little, not all at once. In much the same way, radiology datasets are leaving cramped hardware spaces for the inexhaustible, ever-flexible expanse of the cloud.