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Diagnostic Reading #35: Five “Must Read” Articles on Medical Imaging

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Radiology reports are in the news this week.

This week’s articles in Diagnostic Reading include: how a healthcare system reduced variation in radiology reports; how to handle workplace conflict; a new program to improve global radiology education; AI that identifies cancer outcomes; and radiology business intelligence in Europe.

How a large healthcare system reduced variation in radiology reports – Health Imaging

A quality improvement project undertaken at a large academic medical center significantly reduced the variation in radiology report templates. The study, recently published in the American Journal of Roentgenology, may serve as an example of how radiology can move toward value-based care.

Photo of radiographers looking at image on PACs
Medical imaging professionals, stay up to date on new developments with Diagnostic Reading.

How to handle workplace conflict – Diagnostic Imaging

Knowing how to effectively manage any workplace conflict can help keep a team on track and ensure the best patient care possible. Ignoring workplace conflict creates a slippery slope that results not only in reduced productivity and lower morale, but can also impact the bottom line. This article spotlights the importance of addressing workplace disagreements, as well as tactics to settle problems successfully. Read the related blog on how to engage your medical imaging team to help achieve operational goals.

RSNA launches new program to improve radiology education around the world – Radiology Business

RSNA has announced the launch of a new program designed to improve radiology education and patient care in low- and middle-income countries throughout the world. The RSNA Global Learning Centers (GLC) program is scheduled to begin in 2020. The plan is for one established radiology department in need of assistance to be selected as a GLC each year; equipment and technical help also will be provided to each location as needed.

AI can glean cancer outcomes from radiology reports – AuntMinnie

Artificial intelligence (AI) algorithms can accurately identify the presence of cancer and changes in disease burden described in radiology reports, potentially paving the way for personalized medicine on a large-scale basis, according to research published online in JAMA Oncology. The researchers said they next plan to test their technique in other healthcare systems and clinical environments, as well as apply it to evaluate associations among tumor profiles, therapeutic exposures and oncologic outcomes.

Radiology business intelligence takes root in Europe – AuntMinnie Europe

Radiology-focused business intelligence solutions are gaining traction in the U.S. Therefore, vendors are looking at Europe as the next market for adoption—but because the continent has added complexity due to large differences between health systems and radiology practices between individual countries—entering Europe with a new radiology business intelligence product requires careful consideration. This article discusses the distinctions that will drive or inhibit adoption of medical imaging business intelligence and determine which European markets will be the pioneers in the next phase of digitalizing radiology.



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