Diagnostic Reading #33: Five “Must Read” Articles on HIT and Radiology
Reading Time: 3 minutes read
Tips for radiology administrators and deep learning make headlines.
This week’s articles in Diagnostic Reading include: why radiologists are the most qualified to evaluate breast health; tips for new radiology managers; how administrators can tell if someone is lying; possible cuts in radiology reimbursement; and deep learning checks feeding tube placement.
Radiologists most qualified to evaluate breast health – Everything Rad
The Elizabeth Wende Breast Clinic (EWBC) is highly regarded as being on the cutting edge of technology in its quest to identify breast cancer at its earliest stages. Founder Dr. Wende Young, who set standards for breast cancer treatment worldwide, explains why radiologists are the most qualified to evaluate breast health.
7 tips for new managers – Diagnostic Imaging
Making the transition from being a radiology team member to a radiology manager can be both exciting and daunting. This article provides helpful strategies that can enhance one’s management capabilities to become an effective, successful manager. Read the blog from AHRA on Strategies for Making Progress toward Operational Goals.
Liars in radiology beware! – Imaging Technology News
The voice may lie, but the body cannot. A body language expert at the Association for Medical Imaging Management (AHRA) 2019 meeting held a session about how to identify when a person is not being honest, by watching their body language. The speaker said medical imaging department administrators can use this knowledge to help in hiring decisions and managing staff. She explained how to separate lies from truths “so you’ll never be deceived again.” Read the blog from AHRA on Staffing Challenges for Radiology Administrators.
Radiology payments to edge down in 2020 MPFS – AuntMinnie
Radiology and interventional radiology would see slight cuts in reimbursement for imaging exams billed to Medicare in 2020, according to a proposed Medicare Physician Fee Schedule (MPFS) by the U.S. Centers for Medicare and Medicaid Services (CMS). Also, CMS is recommending 100 new and revised radiology codes for 2020, increasing values for some and decreasing values for others, according to the American College of Radiology.
Deep learning reads X-rays to prevent mispositioned feeding tubes – Health Imaging
A deep learning platform can accurately distinguish critical from non-critical feeding tube placement on radiographs, according to a recent study published in the Journal of Digital Imaging. Because clinical demands often delay the review of these radiographs until hours after the studies are performed, a computer-aided detection (CAD) system that could expedite detection of critical results and triage patient care appropriately would be invaluable, stated the researchers.
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