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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Simulation PACS in med school curriculum increases student confidence

The large difference between learning about something and applying it to real-world situations is a truth that extends to high-risk profession of medicine. Experts say that medical undergraduate education lacks in simulation-based curriculum and is behind other professions that are risky in nature.

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Can electronic triggers help prevent delays in patient care?

Developing electronic triggers to detect delays in follow-up of abnormal mammographic results offers healthcare providers with an “unprecedented opportunity to improve care,” according to a new study published in the Journal of the American College of Radiology. But are the triggers successful enough for clinical use?

SIR 2018 online registration is now open

The Society of Interventional Radiology (SIR) has announced that online registration is now open for the SIR 2018 annual scientific meeting held from March 17-22 at the Los Angeles Convention Center in Los Angeles, Calif.        

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7 reasons why radiation exposure, patient dose are decreasing in cardiology

In the last decade, radiation exposure and patient dose has decreased in cardiology, according to trends analyzed and evaluated in a recent article published by the Journal of the American College of Radiology.  

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Cloud-based image sharing improves efficiency, reporting times

Radiologists may want to invest in cloud-based image sharing software for departmental workflow purposes. New research in the American College of Radiology showed high efficacy of cloud-based image sharing in a mammography department.

End-of-life imaging spending key to evaluating participation in advanced payment models

A recent study in the American College of Radiology aimed to assess spending patterns on high-cost imaging during the final three months of life.

Will AI enrich radiology jobs—or take them away?

Tech moguls Bill Gates and Elon Musk have differing views on artificial intelligence (AI) and its impact on society. Gates believes AI will make our lives more productive; Musk has called it an “existential risk.”

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7 questions radiologists must answer about enterprise imaging

Cheryl Petersilge, MD, MBA, with the department of regional radiology at the Cleveland Clinic, examined enterprise imaging—and how radiologists must integrate and collaborate with other departments. Her clinical perspective clinical perspective was published online in the October issue of the American Journal of Roentgenology.

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Around the web

Health Imaging
MRI projectile incident likely to result in a 'seven-figure sum' repair bill for hospital

News of an incident is a stark reminder that healthcare workers and patients aren’t the only ones who need to be aware around MRI suites.

Health Imaging
American College of Radiology announces significant expansion of Lung Cancer Screening Registry

The ACR hopes these changes, including the addition of diagnostic performance feedback, will help reduce the number of patients with incidental nodules lost to follow-up each year.

Health Imaging
AI reduces CT lung cancer screening workload by nearly 80%

And it can do so with almost 100% accuracy as a first reader, according to a new large-scale analysis.