Cybersecurity risks and staff burnout is a challenge for the health care industry
Amid concerns over rising costs, growing cybersecurity challenges and physician burnout, a growing number of health care organizations are turning to vendor-managed, cloud-native Software–as-a-service (SaaS) applications.
“The cloud really offers an ability to be able to solve some of those problems,” said Tracy Byers, senior vice president and general manager of enterprise imaging at Optum.
Designed from the ground up with state-of-the-art technology, the cloud-native Stratus Imaging PACS provides radiologists at independent practices with a secure, seamless and scalable solution that permits images from multiple hospitals to be read on one platform anytime, anywhere.
Also, the application offers rapid migration and zero-downtime automatic updates and upgrades, eliminating the need for them to be installed manually by on-site IT staff.
“In a cloud-native solution, you can seamlessly deploy upgrades, patches and fixes that could take years in an on-premises environment. We can deploy them with zero downtime while active users are using the system, and they never know,” said Byers, noting the benefits that accompany such capability.
As one example, she cited a 100-radiologist practice using the Google Cloud-based system across two regions, east and west. A glitch was discovered in the viewer that could easily have brought the entire practice to a complete halt.
Instead, the Optum team routed all radiologists who were actively reading clinical cases to the east zone. Then they deployed the new software in the west, ensured it was working properly, and seamlessly routed all 100 users back to the new version.
“There wasn’t a second of downtime and the viewer problem was solved,” said Byers. “Cloud-native completely changes the game.”
“Such capabilities allow practices to focus on productivity”, Byers said.
“Across our entire customer base, we can look at every image load for every workstation at every facility 100 percent of the time, 24/7. We can see when there's something wrong with an image load. Our goal is to deliver every image, whether it's a complex tomosynthesis study or a chest X-ray, in under two seconds,” said Byers.