Imaging Informatics

Imaging informatics (also known as radiology informatics, a component of wider medical or healthcare informatics) includes systems to transfer images and radiology data between radiologists, referring physicians, patients and the entire enterprise. This includes picture archiving and communication systems (PACS), wider enterprise image systems, radiology information. systems (RIS), connections to share data with the electronic medical record (EMR), and software to enable advanced visualization, reporting, artificial intelligence (AI) applications, analytics, exam ordering, clinical decision support, dictation, and remote image sharing and viewing systems.

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4 tips to help radiology departments vet and cancel inappropriate imaging requests

Vetting is an “extremely important” but often overlooked duty of physicians in imaging, U.K. experts wrote recently. 

quality

Radiology Partners quality initiative dramatically improves abdominal aortic aneurysm reporting and tracking

Prior to implementation, only 2% of reports for dangerous AAAs included follow-up recommendations, but that number jumped to 58% afterward, experts wrote in JACR. 

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Radiologists miss 24% of interval breast cancers they could have caught on initial screening mammogram

Double reading, optimizing image quality, and improving positioning are all ways to potentially address these misses, experts wrote in Academic Radiology

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Microsoft to acquire radiology vendor Nuance in $19.7B deal

Officials with the Redmond, Washington-based tech giant said healthcare artificial intelligence was a key piece of the blockbuster acquisition. 

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Claims data reveal key clues to why patients may miss lung cancer screening exams

Being between the ages of 55-64 or 75-79, living in a rural area, and using Medicaid or fee-for-service Medicare were all associated with lower adherence. 

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Artificial intelligence pinpoints chest CT reports with incidental thyroid nodules requiring follow-up

However, extra work is needed to get physicians to close the care loop with ultrasound imaging, Duke experts noted.

Man vs. Machine artificial intelligence AI

Don’t depend on machine learning for diagnostic imaging support just yet, experts say

Radiologists should exercise caution when using artificial intelligence-aided CDS systems, as robust evidence is still lacking, researchers wrote in JAMA.

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‘Epidemic’ of free-text entry holding back radiology’s efforts to reduce inappropriate imaging

Structured orders allow clinical decision support systems to root out unnecessary exams, but they run into a roadblock when docs try to freestyle.