Diagnostic Reading #29: Five “Must Read” Articles on HIT and Radiology
Optimism for radiology’s future and low CMS denial rates make headlines this week.
This week’s articles in Diagnostic Reading include: four reasons to be optimistic about radiology’s future; experts find uptick in secondary imaging interpretations; research is essential to radiology residencies; AI software could fix ‘grainy,’ low-resolution medical images; and the AHRA2018 keynote speaker has advice for improving the patient experience.
Four reasons to be optimistic about radiology’s future – Radiology Business
There are four reasons to be optimistic about the future of radiology, according to a recent report: Interventional radiology (IR) remains healthcare’s most competitive specialty; diagnostic radiology (DR) is competitive as well—and trending in a positive direction; radiology has a thriving job market; and those who choose radiology don’t regret it. According to the report, 96 percent of radiologists said they would choose radiology again.
Many believe Medicare and private payers frequently deny coverage for secondary imaging interpretations—but a team of East Coast researchers found the opposite in a study analyzing Medicare beneficiaries. The team looked at aggregate Part B fee-for-service claims frequency and payment data from the Medicare Physician/Supplier Procedure Summary Master Files for 2003 to 2016. Their results found “broad” increases in secondary imaging service interpretations across many modalities, and “low” CMS denial rates for secondary interpretations during the study period.
Research is essential to radiology residencies—but do trainees have the time for it? – Radiology Business
Research is a fundamental component of any radiology residency. However, residents are struggling to find adequate time, interest or faculty mentorship to complete the requirement, a group of physicians reported this month in the Canadian Association of Radiologists Journal. Radiology has in recent years lagged behind other specialties in research participation and publication.
AI software could fix ‘grainy,’ low-resolution medical images – Health Imaging
AI software developed by researchers from Finland and MIT may be able to fix low-resolution, grainy, or pixelated medical images without previously observing examples of noise-free images. The deep learning-based software can remove artifacts, noise, and grain to enhance images into clean data without previously being shown examples of noise-free images.
Improving the patient experience; start with your staff – Everything Rad
The keynote speaker at AHRA2018 this week has advice for how radiology administrators can influence and shape the way their staff treats patients. How? By creating an exceptional experience for the people inside their organization. Speaker Kevin Brown believes that by treating staff and co-workers with kindness and respect, they in turn will treat patients the same way. He offered this simple philosophy: be kind for no reason, and help others without expecting anything in return. In doing so, you are likely to build a more compassionate workforce that puts the patient first and sets your organization apart from the competitors.
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