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.

Sirona Medical

Radiology IT firm Sirona Medical raises $42M in Series C financing

The startup, which offers cloud-based software that integrates disparate elements of a rad's workflow, also named a new CEO. 

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Radiology practice's communication failure bears tragic consequences

After looking into the case, officials discovered that a coding error prevented the radiology report, which contained critical findings, from ever being sent to the referring provider.

Chat GPT

Experts highlight 'significant concerns' with fluctuating accuracy of popular large language models

As these models continue to advance, it is important to understand how their performance holds up over time.

Incidental interstitial lung abnormalities largely underreported

Less than half of incidental interstitial lung abnormalities on CT exams are reported

This is despite experts cautioning that these findings should be "systematically and fully assessed" due to their progressive nature.

artificial intelligence robot evaluates healthcare data

Are providers too trusting of AI's advice?

“When we rely too much on whatever the computer tells us, that’s a problem."

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Pairing an alert system with CAD software halves time-to-treatment for pneumothorax

By expediting communication between radiologists and referring providers when suspicious findings are identified, the system has great potential to improve clinical outcomes in real-world scenarios, authors of a new study in JACR suggest.

question mark conundrum uncertainty

Patients frequently fail to obtain follow-up imaging. Could radiologist-referrer disagreements be to blame?

Harvard researchers recently set out to answer this question, sharing their results Friday in the Journal of the American College of Radiology 

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3 modifiable factors that make radiology reports easier for patients to understand

European imaging experts believe it’s essential that provider groups heed this advice and improve the formatting of their work.