Enterprise Imaging

Enterprise imaging brings together all imaging exams, patient data and reports from across a healthcare system into one location to aid efficiency and economy of scale for data storage. This enables immediate access to images and reports any clinical user of the electronic medical record (EMR) across a healthcare system, regardless of location. Enterprise imaging (EI) systems replace the former system of using a variety of disparate, siloed picture archiving and communication systems (PACS), radiology information systems (RIS), and a variety of separate, dedicated workstations and logins to view or post-process different imaging modalities. Often these siloed systems cannot interoperate and cannot easily be connected. Web-based EI systems are becoming the standard across most healthcare systems to incorporate not only radiology, but also cardiology (CVIS), pathology and dozens of other departments to centralize all patient data into one cloud-based data storage and data management system.

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4 important steps when implementing standardized imaging protocols

Standardized imaging protocols can help healthcare providers deliver high-quality care at a consistent rate, but getting everyone on the same page is often challenging.

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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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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.

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.

 

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. 

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A new approach: Audiovisual radiology reports earn high marks from physicians

Audiovisual radiology reports can provide significant value when used in addition to traditional reports, according to new findings published by the Journal of Digital Imaging.

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