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.

Nonphysician practitioners' growing role in imaging interpretations

It has long been known that NPPs increase utilization of radiology services, but new data indicate that they also  are increasingly taking on more imaging interpretation responsibilities.

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Self-directed triage 'phone trees' can significantly reduce disruptions in radiology workflows

Automated phone trees are a cost-effective means of reducing unnecessary interruptions and can be implemented “in an easily accessible manner,” according to experts at University Hospitals Cleveland Medical Center.

Is it time for radiologists to head back to the reading room? New data reveal trends in remote radiology

Three years after the height of COVID forced a global transition to remote work, many professionals are now being called back into the office, including radiologists. 

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AI and medical imaging data firm Flywheel raises $54M in series D financing

Bayer AG's former CEO is joining the startup's board, expressing excitement about the prospect of using the platform to develop new drugs.

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Automated correlation of knee MRI, surgical findings saves radiologists’ time

Cleveland Clinic scientists believe their research findings could have “broad and far reaching” implications for the specialty. 

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More assertive language in cancer screening reports leads to likelier receipt of follow-up care

Patients with Lung-RADS 4A findings who spoke with a clinician by phone were three times more likely to see things through, experts wrote in JAMA Network Open

ChatGPT large language models radiology health care

Latest version of ChatGPT has potential as a clinical decision support tool

Large language models could have feasibility in the future as clinical support tools that triage patients for imaging services—with additional updates and more training, of course.

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AI startup aiming to build world’s largest medical imaging library raises $2.75M

Gradient Health's database now spans 10 countries, 1,000 hospitals, and more than 350 million patient studies.