Diagnostic Reading #31: Five “Must Read” Articles on HIT and Radiology
News this week: the role of gut instincts and generalists in radiology; and rad administrators share their top challenge.
This week’s articles in Diagnostic Reading include: physician’s intuition influences diagnostic imaging for a patient; generalists still relevant despite subspecialization; radiology administrators at AHRA share their top challenges; a PACS-integrated curriculum improves medical education; and RSNA shares plans to educate members about AI and ML in 2018 and beyond.
New research from the Massachusetts Institute of Technology (MIT) suggests a physician’s intuition—or, in other words, gut feeling—about a patient’s condition significantly influences the amount of diagnostic imaging, which is well above the capabilities of artificial intelligence (AI). Understanding what goes into a physician’s instinct can help scientists design AI systems to incorporate less tangible data used by doctors to evaluate patients.
Radiology has undergone large-scale subspecialization, causing some experts to question how the shift has impacted patient access to both basic and invasive procedures. In a recently published study in Radiology, researchers found generalists perform more procedures in a greater number of locations compared to interventionalists and other subspecialties.
Radiology administrators share their top challenges – Everything Rad
Being a successful radiology administrator is a tall order. You need to drive operational and financial results, stay in compliance with changing regulations, and occasionally reconcile physician orders that might conflict with clinical decision support data. But according to AHRA attendees, the most difficult challenge in radiology management can be people. Read insights and experiences from AHRA 2018 attendees.
Training radiology residents for on-call duties using a blended-curriculum model—known as a flipped classroom—has been gaining traction in graduate medical education. A recent study published in Current Problems in Diagnostic Radiology found integrating a cloud-based PACS viewer further improved trainee comprehension and comfort.
RSNA outlines numerous AI, machine learning initiatives – Radiology Business
RSNA announced that it has big plans for educating members about artificial intelligence (AI) and machine learning (ML) for 2018 and beyond. RSNA will host the first in a series of live webinars about AI in radiology, “Intro to AI and Machine Learning: Why All the Buzz?” on Aug. 29. RSNA also is co-sponsoring August’s National Institutes of Health/National Institute of Biomedical Imaging and Bioengineering workshop, “Artificial Intelligence in Medical Imaging.” RSNA 2018—complete with the return of its RSNA Deep Learning Classroom—comes to Chicago this November. Confused about AI terms? Our blog can help clear up the confusion.
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