image of 2 radiologists reviewing results on monitor screen

Diagnostic Reading #25: Five “Must Read” Articles on HIT and Radiology

Reading Time: 3 minutes read

The week in numbers for radiology: 4 challenges, 7 steps, and 10 things to know.

This week’s articles in Diagnostic Reading include: four priorities for using AI in medical imaging; 7 steps to help get the ‘perfect’ job in radiology; a mid-year review of the most popular medical imaging blogs; teleradiology and AI; and what radiologists need to know about radiology extenders.

Medical imaging professionals looking at images.
Medical imaging professionals stay up to date on new developments and tips with Diagnostic Reading.

Workgroup outlines 4 key challenges to using AI in imaging – Health Data Management

There are four key priorities that are necessary for artificial intelligence (AI) to play a consistent role in medical imaging within clinical practice. A report published in the Journal of the American College of Radiology outlines those challenges, opportunities and priorities for research in AI.

7 steps to land the perfect radiology job – Diagnostic Imaging

With numerous radiology practice environments available, an increased focus on sub-specialization and an upcoming wave of retirements, navigating your way to the right position can be complicated. However, according to industry experts, focusing on certain aspects of the job hunt can help you land the role you want. This article provides seven steps to help you find the perfect radiology job.

Mid-year review of the most popular medical imaging blogs – Everything Rad

Everything Rad takes a mid-year review of the most popular blogs published so far this year.  Not surprisingly, the most popular topics are about advances in medical image capture and reporting. Likewise, it is not surprising that medical imaging professionals also were interested in blogs about the impact of technology on their profession, and on patients.

AI and teleradiology impact healthcare  – Health Management

Teleradiology and artificial intelligence (AI) can work hand-in-hand and align their respective potential to greatly impact healthcare delivery. High-speed telecommunications networks—opening the way for vast amounts of data to be transferred across the globe instantly—provide the grounds for the emergence of teleradiology, a tool that allowed radiologists the access and freedom to diversify the way they practice. This article discusses a study published in Academic Radiology, referring to AI as a ‘gamechanger.’

10 things radiologists need to know about radiology extenders – Radiology Business

Medicare recently relaxed its rules on the supervision that non-physician radiology providers must have by radiologists for their respective practices to get reimbursed. In the wake of this change, these ‘midlevel providers’ are likely to grow in importance as well as in numbers. Radiology extenders (REs), sometimes called non-physician providers, are most widely known as radiology assistants (RAs). While there are many different job titles/acronyms in this particular area, what they all have in common is a green light to take on some of the duties and responsibilities traditionally performed only by radiologists themselves.

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