Practice Management

Practice management involves overseeing all business aspects of a medical practice including financials, human resources, information technology, compliance, marketing and operations.

A radiologists reading station, image from Sectra

VIDEO: How to Prevent Radiologist Burnout

Elizabeth Bergey, MD, a diagnostic radiologist at Quantum, chairman of Quantum’s board of directors, explains some of the issues that cause burnout and how technology can help mitigate issues that cause radiologists to leave.

Contrast shortage update: GE expects supply to 'progressively recover' soon

Production at the facility in Shanghai is expected to be near 100% starting on June 6.

Skyrocketing rates of head CT in the ED: Don’t look at advanced practice providers

The meteoric rise of noncontrast head CT in emergency settings is not explained by the conspicuous proliferation of nurse practitioners and physician assistants in the ED.

Thumbnail

Managing incidental radiologic findings: ACR-led initiative proposes several recommendations

Authors of the JACR paper noted the timeliness of the proposed measures, referring to CMS’ prioritization of measures of patient outcomes.

GE, Philips, Siemens pass academic test on low-dose DECT

Comparing six dual-energy CT technologies marketed by three scanner manufacturers, radiology researchers have found all models helpful in determining the chemical composition of kidney stones even at substantially reduced radiation doses.

Crowdsourced X-rays suitable for training AI in orthopedic injuries

The Internet is an acceptable source of images for training algorithms to automatically triage patients with dislocated joints and similar orthopedic emergencies. 

Thumbnail

4 increasingly common uses for imaging AI in the ED

As FDA-approved AI software continues to proliferate in radiology—well more than 150 products to date and rising—a trio of Yale radiologists has compiled a status report focused on AI applications available to, specifically, emergency radiology.

Thumbnail

Deep learning expedites normal findings on ultrafast breast screenings

AI can safely and accurately identify healthy breast tissue on ultrafast breast MRI, negating the need for a radiologist’s closer look and, in the process, lowering cancer screening costs and widening patient access to breast MRI.