Health IT

Healthcare information (HIT) systems are designed to connect all the elements together for patient data, reports, medical imaging, billing, electronic medical record (EMR), hospital information system (HIS), PACS, cardiology information systems (CVIS)enterprise image systemsartificial intelligence (AI) applications, analytics, patient monitors, remote monitoring systems, inventory management, the hospital internet of things (IOT), cloud or onsite archive/storage, and cybersecurity.

Academic radiology should reexamine how it handles outside studies

Academic radiology departments vary in how they handle second opinion consultations on outside studies, according to new research published in the American Journal of Roentgenology. A more uniform approach, the researchers argued, could help radiologists and patients alike.

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Do CT radiation, reconstruction settings impact radiomics?

The researchers found features were so highly affected by CT acquisition and reconstruction settings that a majority were “nonreproducible.”

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Do we need ethical guidelines for using brain imaging data?

Brain scans contain vast amounts of patient data, some as valuable as that within your DNA. In a recent opinion piece published in Wired, professor of radiology and biomedical imaging at Yale, Evan D. Morris, PhD, argued that we need to do more to protect these valuable images.

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RI-RADS could improve radiologists’ imaging orders

The Reason for exam Imaging Reporting and Data System (RI-RADS) is a new standardized system to grade imaging orders and may improve patient care as a whole, according to a new analysis published in the European Journal of Radiology.

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Investigation finds millions of medical images left unsecured online

Medical images and data from more than five million patients in the U.S. are left unsecured and vulnerable on the internet, according to an investigative report published Sept. 17 by ProPublica and German public broadcaster Bayerischer Rundfunk.

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Researchers test, validate AI to detect pulmonary nodules on chest x-rays

A team of researchers from Taiwan performed a first-of-its-kind external validation of four AI algorithms used to detect pulmonary nodules in chest x-rays, sharing their results in Clinical Radiology. The classifiers could help radiologists improve medical imaging care as a whole.

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ACR responds to JAMA study on rising medical imaging use

The ACR released a statement urging more nuanced conclusions should be drawn from a Sept. 3 study published by JAMA that found the use of medical imaging continues to grow despite efforts to curb overutilization.

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Machine learning detects radiology reports requiring follow-up imaging

A model utilizing natural language processing and machine learning can accurately detect radiology reports that demand follow-up imaging, reported researchers of a new study published in the Journal of Digital Imaging.

Around the web

A total of 16 cardiology practices from 12 states settled with the DOJ to resolve allegations they overbilled Medicare for imaging agents used to diagnose cardiovascular disease. 

CCTA is being utilized more and more for the diagnosis and management of suspected coronary artery disease. An international group of specialists shared their perspective on this ongoing trend.

The new technology shows early potential to make a significant impact on imaging workflows and patient care.