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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The American Society of Nuclear Cardiology (ASNC) is asking Congress to repeal the appropriate use software provision mandate, which physicians say is an obstacle to efficient care.

VIDEO: Imaging societies ask Congress to repeal appropriate use decision support mandate

Randall Thompson, MD, immediate past president of the American Society of Nuclear Cardiology (ASNC), explains the current ASNC lobbying efforts.

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Radiology departments are adapting to offer inclusive environments for transgender individuals

Most radiological hardware and software systems now offer gender options beyond female/male classification, a recent analysis shows. 

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Explainable AI model accurately auto-labels chest X-rays from open access datasets

A model that can achieve accuracy in line with that of radiologists when labeling open-access datasets could be a key factor to overcoming limitations of artificial intelligence implementation, researchers explained in Nature Communications.

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Significant disparities exist in utilization of self-scheduling radiology exams, research shows

Researchers revealed that less than 1% of more than 46,000 patients took advantage of online self-scheduling tools.

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Lack of diverse datasets in AI research puts patients at risk, experts suggest

Homogenous datasets can create unintended research bias that hinders the clinical efficacy of AI applications, experts recently explained in PLOS Digital Health.

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'Probably benign' BI-RADS 3 category has high utilization, low cancer yield, study finds

Such diagnoses were higher among community practices compared to academic institutions, with lack of subspecialty training a likely underlying factor, experts wrote in JACR. 

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Researchers cite safety concerns after uncovering 'harmful behavior' of fracture-detecting AI model

A study in Lancet Digital Health reports that a previously validated, high performing AI model committed troublesome errors when confronted with atypical anatomy.

Walmart rolling out ‘state-of-the-art’ health centers with imaging, Epic EHR integration

Along with X-rays, the new outposts will also offer primary care, lab work, EKGs, behavioral health, dental, optical, and hearing services, all for a flat fee, the retailer reported. 

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