Search Tag: Radiologists

IMAGING Management

Why radiologists need persuasion skills

2018 29 Aug

"Persuasion is often more effectual than force" should be a guiding principle for those aspiring to leadership roles. Effective persuasion can increase your success in solving problems, communicating new ideas, and influencing group decisions, according to an Opinion article published online in the Journal of the American College of Radiology.... Read more

IMAGING Management

Finding ways to reduce burnout in radiologists

2018 08 Aug

Burnout is a global health problem affecting physicians across all medical specialities who work in variable hospital settings and work environments. Radiologists, in particular, experience high rates of burnout, and this trend has only continued to worsen, according to a special report published online in the journal Academic Radiology. It... Read more

IMAGING Management

2018 25 Jul

Head radiologist provides feedback on department’s three-year use of the Hologic Selenia® Dimensions® 3D Mammography™ System In an exclusive interview with HealthManagement.org, Dr. Annie Philippou Papoutsou explains how the implementation of Hologic’s Selenia® Dimensions® 3D Mammography™ System has helped radiologists to detect more cancers,... Read more

IMAGING Management

Opportunities for radiologists to improve patient experience

2018 11 Jul

Patient experience is becoming increasingly prioritised in line with the focus on value-based care. Given the scope of imaging services, diagnostic radiologists are better positioned to seize opportunities to innovate in patient experience than is readily apparent, says a review article in the journal Current Problems in Diagnostic Radiology.... Read more

IMAGING Management

Radiologist QA by nonradiologists helps minimise biases

2018 27 Jun

According to a new study, radiologist quality assurance (QA) conducted in line with tumour board workflow can enable efficient assessment of radiologist performance. The findings reveal that discordant interpretations are commonly (30%) reported by nonradiologist providers. The study, published in Journal of the American College of Radiology,... Read more

IMAGING Management

2018 19 Jun

The radiology department has transformed from a unit of collaboration to one that focuses on interpretation, and in order to regain past values, an efficient harmony between IT and humans needs to be achieved. As radiologists we have to be valued for not just interpreting images. I have been around the world giving talks, and I seen radiology... Read more

Executive Health Management

Does radiology have a bright future?

2018 23 May

Do AI and machine learning herald the end of radiology?   I could answer in one word: Yes. But HealthManagement has given me 700 and I’m delighted to have the opportunity to expand my hypothesis.   I might as well start with the “elephant in the room”. How many radiologists cringed when they read President Obama’s assertion that “radiologists... Read more

IMAGING Management

AI in radiology: Are radiologists ready to take up the challenge?

2018 22 May

Artificial intelligence, combined with supercomputing power, is increasingly impacting many areas in the practice of medicine. In particular, "the recent rapid advances in computer interpretation of images suggest that radiology will be affected sooner than most," says an article in press in the Journal of the American College of Radiology.... Read more

IMAGING Management

Chest x-ray interpretation: radiographers and radiologists compared

2018 09 May

Chest x-rays (CXR) are one of the most frequently requested imaging examinations and are fundamental to many patient pathways. New research examining the diagnostic accuracy of CXR interpretation by reporting radiographers (technologists) shows they are able to interpret CXRs at a level comparable to consultant radiologists. Chest radiographs are... Read more

IMAGING Management

AI to enhance, not replace, radiologists' jobs

2018 02 Apr

Rapid advances in artificial intelligence, including deep learning, are a major factor behind improvements in medical image analysis. Some deep learning models have shown their ability to identify pathologies in radiological images such as bone fractures and potentially cancerous lesions, in some cases more reliably than an average radiologist. With... Read more