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.

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RI-RADS would let radiologists grade physicians' imaging orders

When physicians place orders for imaging examinations, they often leave out key information that could help the radiologist provide better patient care. The authors of a new analysis published in the European Journal of Radiology have proposed a standardized grading system, the Reason for exam Imaging Reporting and Data System (RI-RADS), that could combat this issue.

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AI tracks when radiology reports include follow-up recommendations

Natural language processing (NLP) and machine learning can help track when free-text radiology reports include follow-up imaging recommendations, according to a new study published in the Journal of Digital Imaging.

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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.

How AI can improve adherence to follow-up imaging recommendations

Researchers have developed an algorithm that identifies if follow-up imaging recommendations are adhered to or not, sharing their findings in the Journal of Digital Imaging.

 

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Brain tumor reporting system improves quality of glioma reports

Radiology reports derived from structured brain tumor MRI reporting and data systems (BT-RADS) showed measurable improvements compared to free text reports, according to a new study published in Academic Radiology.

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Algorithm may automize follow-up imaging adherence using radiology reports

A machine learning algorithm can determine appropriate follow-up imaging based off of radiology reports, according to a new study published in the Journal of Digital Imaging. The technology may eventually be developed to automatically tell if a patient completed their follow-up exam.

Sectra signs enterprise imaging contract with Vanderbilt Health

International medical imaging IT and cybersecurity company Sectra will install its enterprise imaging PACS and VNA throughout Vanderbilt Health in Nashville.