Case Studies

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.

Korak Sarkar, MD, vividly recalls a clinical case that clearly demonstrated the significant impact that enterprise imaging can have on healthcare delivery.

As recently as three to five years ago, clinicians diagnosing disorders could not afford to dismiss the possible presence of “stumble-across” imaging studies.

Don’t confuse the term with incidental findings. These are anatomic abnormalities that pop up in imaging exams looking for something else. By contrast, stumble-across imaging is typically a prior exam that’s relevant to care but hidden from view. The only way a clinician can find it is to stumble across it.

Two years ago, Aalborg University Hospital in North Denmark found itself navigating the hazardous seas of backlogged imaging exams. Looking back now, it’s easy to identify the crosswinds that combined to create that perfect storm.

The profession of radiology has largely supported the basic notion behind enterprise imaging, aka EI: All medical images should be readily available to healthcare providers and patients across the care continuum.

Enterprise imaging has been increasing the efficiency of imagers, physicians and caregivers needing quick and easy access to multi-ology images and reports. But by adding content services, healthcare systems are seeing even more benefits: Namely reducing the time it takes physicians to find key patient images, data and information and saving healthcare systems money.

Now that hospitals and health systems are finally maximizing the electronic health record, AGFA HealthCare North America President Mark Burgess wants to make sure that they’re not missing out on another critical digital element of connected care: enterprise imaging, including the company’s breakthrough technology enabling the Imaging Health Network™. Think of it as meaningful use taking on the efficient management of medical imaging.

The radiologists at San Luis Diagnostic Center, a multimodality outpatient facility in California, are happy to do it all: mammography, CT scans, ultrasound, X-rays, MRI, and more. There’s one aspect of their radiology practice that they’re excited to hand off, however: billing and negotiations with third-party payers. Especially now that they’re sure they’re getting paid for all of their exams and interpretations, and at a market rate.