[VIDEO] Insight into retirement in radiology.
A widespread problem with radiologists and retirement is that they don’t start preparing soon enough, Bruce Barron, MD, MHA, FACNM, of Emory University School of Medicine in Atlanta, GA, told Diagnostic Imaging at RSNA 2014.
Radiologists tend to retire later in life, Barron said, and mostly for economical reasons. Reimbursement cuts in the last several years have made it harder for radiologists to plan for long-term needs. These radiologists might benefit from a gradual retirement with a slowly decreasing workload, Barron said.
It’s also better for radiologists not to delay retirement because of the physiological and psychological issues that develop with older age. Barron cited specifically cataracts, visual acuity, and visual discrimination between two objects and contrast, and cognitive changes.
Barron recommended that radiologists identify when it’s an appropriate time to retire, whether for physiological issues or quality of life. Regardless of when it’s time, though, Barron said if you aren’t preparing for retirement now, it’s time to start.
The Reading Room: Artificial Intelligence: What RSNA 2020 Offered, and What 2021 Could Bring
December 5th 2020Nina Kottler, M.D., chief medical officer of AI at Radiology Partners, discusses, during RSNA 2020, what new developments the annual meeting provided about these technologies, sessions to access, and what to expect in the coming year.
Current Perspectives on Radiology Workforce Issues and Potential Solutions
March 14th 2024Emphasizing the gravity of the ongoing workforce shortage in radiology, these authors recommend a change agenda focusing on expanded numbers of residency positions, reassessment of educational pathways, maintaining a strong presence in hospital settings and practice level initiatives to reduce administrative burden and achieve appropriate reimbursement beyond RVU measurements.
Could Cloud-Based 'Progressive Loading' be a Boon for Radiology Workflows?
March 13th 2024The newly launched Progressive Loading feature, available through RamSoft’s OmegaAI software, reportedly offers radiologist rapid uploading of images that is faster than on-site networks and other cloud-based systems regardless of the network radiologists are using.