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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Expansion of open-source neuroimaging dataset aims to boost stroke research

Researchers recently revamped the database in the hopes of expanding algorithm development in the field of stroke care. 

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AI software approved for use on adult chest X-rays shows promise for pediatric population

In a sampling of 2,273 chest radiographs of kids aged 2 to 18-years-old the AI-based software achieved diagnostic accuracies ranging from 86% to 96.9% for detecting a myriad of pathologies.

Arl Van Moore, MD, American College of Radiology (ACR) delegate to the American Medical Association (AMA) House of Delegates, former ACR president, chairman of the ACR Board and former CEO of Strategic Radiology, discusses two radiology related policy decisions at the AMA 2022 meeting. These included a AMA policy on the iodine contrast shortage and AUC CDS. #AMA #AMA22 #AMAmtg #AMA175 #ACR

VIDEO: Radiology takeaways from the 2022 AMA meeting

Arl Van Moore, MD, American College of Radiology (ACR) delegate to the American Medical Association House of Delegates, former ACR president, chairman of the ACR Board and former CEO of Strategic Radiology, discusses radiology-related policy decisions at the AMA 2022 meeting.

The ASNC is one of several medical imaging societies asking Congress to repeal the appropriate use criteria (AUC) criteria mandate. They say it poses issues for clinicians and is becoming outdated by changes in CMS payment systems. The AUC requirements call for documentation using CVMS authorized software in order to show advanced imaging such as nuclear and CT is justified, or else Medicare payments might be withheld.

VIDEO: AMA will ask Congress to revise clinical decision support mandate for cardiac imaging

American Society of Nuclear Cardiology (ASNC) delegates to the American Medical Association (AMA) House of Delegates 2022 meeting Stephen Bloom, MD, and Nishant Shah, MD, explain a new AMA policy asking Congress to revise its clinician decision support mandate. 

Radiomic model predicts radiotherapy outcomes for patients with brain metastases

The model performed well in assessing treatment responses, but experts explained that one of the most beneficial aspects of their model was that its results are interpretable in a “clinician-friendly way.” 

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70% of ‘mini-stroke’ patients imaged incompletely, risking full-on stroke

Emergency patients diagnosed with transient ischemic attack are supposed to receive, per multiple society guidelines, a complete imaging workup as soon as possible—preferably within 48 hours of ED discharge.

radiology reporting EHR health record CDS AUC

Structured reporting templates reduce turnaround times by as much as 35 minutes

A new paper published in Academic Radiology details one institution’s transition from free text to structured reporting templates and the resultant departmental impact.

Shortened POCUS curriculum leaves residents long on confidence, short on skills

Point-of-care ultrasound instruction that is less than comprehensive risks boosting trainees’ perceptions of relative proficiency without building their objective expertise in image interpretation.

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