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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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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Medical image-sharing startup PocketHealth balloons fundraising to nearly $23M

Founded in 2016, the company offers what it believes is the first “patient-centric” solution allowing consumers to instantly access their images.

AI software that triages x-rays for pneumothorax receives FDA clearance

The new algorithm flags chest x-rays when it detects pneumothorax and notifies physicians of any suspicious findings.

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AI assists radiologists in detecting fractures, improves workflow

Research published recently in Radiology found comparable sensitivity and specificity between artificial intelligence and clinicians for fracture detection. 

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Scaling structured radiology reporting template use across multiple health systems to build a data registry

Pennsylvania imaging experts offered several key lessons learned, including the need to engage rads and continuously monitor data accuracy. 

Study analyzes use of AI to alert patients, physicians to incidental imaging findings

Aiming to prevent delayed or missed care, Northwestern Medicine uses natural language processing to screen signed reports for text that indicates a follow-up recommendation.

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Regardless of specialty, female physicians spend more time in the EHR than men

“Our findings provide a potential mechanism for the gender gap in burnout, which has implications for workforce mental health and physician retention,” experts wrote Thursday. 

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