Many know Sol Radiology as the Southern California-based practice that, in this decade, grew from three radiologists to 45 in only three years. But other key indicators of Sol’s development might be the pieces from which presently small practices stand to learn the most.
When soaring imaging volumes began to exacerbate workload inequity and drive physician burnout, the leadership team at one prominent radiology practice found the root cause easy to isolate: operational fragmentation.
Radiology is rethinking reporting. Legacy systems are being swapped out in favor of intuitive, standardized, AI-powered tools. Greater automation is driving quantifiable improvements into both clinical outcomes and business metrics. Stated another way, radiology reporting is having a moment.
A referring physician orders an MRI of the lumbar spine and hits send. That order lands at three, sometimes four, outpatient imaging centers simultaneously. The center that contacts the patient first books the appointment. The rest miss out on the revenue.
3D surface modeling and virtual surgical planning are expanding radiology’s contribution to multidisciplinary teams. Together, AI-driven interpretation and 3D-enabled clinical collaboration represent two distinct, complementary forces shaping the next decade of radiology.
The growing influence of artificial intelligence and deep learning in healthcare has led some writers to theorize that certain specialties, including radiology, would soon be “replaced” by machines.
For the team at the Froedtert Health and the Medical College of Wisconsin (FH and MCW) in Milwaukee, Conserus Workflow Intelligence is the solution that keeps on giving.
If radiology departments want to stay relevant and thrive in the U.S. healthcare industry’s shift from volume-to-value, they need to clearly demonstrate their contribution to the organization’s overall success.
In 2011, officials at Alberta Health Services made a startling discovery. A number of CT studies in a rural community had been misinterpreted, raising questions about patient care.
When the Consolidated Appropriations Act of 2016, or Omnibus Bill, was passed late last year, it included text that requires imaging providers to start using DR.
Radiation dose is one of the top concerns in imaging today, and since younger patients are the most vulnerable, reducing dose in pediatric imaging is especially important.
