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.

Example of a radiology diagnostic aid artificial intelligence (AI) algorithm with Lunit's mammography cancer lesion detection system.

VIDEO: Segmenting the Radiology Artificial Intelligence Market by Function

Keith J. Dreyer, DO, American College of Radiology (ACR) Data Science Institute chief science officer, breaks down radiology AI down into 4 areas and discusses where these areas stand with regulatory approval.

Example of an artificial intelligence (AI) app store on the Sectra website, where Sectra PACS users can select the AI algorithms they want that are already integrated into the Sectra System. Other vendors have followed a similar approach to AI developed by many smaller vendors they partner with.

VIDEO: Development of AI app stores to enable easier access

Keith J. Dreyer, DO, PhD, FACR, American College of Radiology (ACR) Data Science Institute Chief Science Officer, explains how radiology vendors have developed AI app stores to make it easier to access new FDA cleared AI algorithms.
 

Keith J. Dreyer, DO, PhD, FACR, American College of Radiology (ACR) Data Science Institute Chief Science Officer, explains artificial intelligence (AI) for radiology. Dreyer also holds the positions of vice chairman of radiology at Massachusetts General Hospital, chief data science and information officer for the departments of radiology for both Massachusetts General Hospital and Brigham and Women's Hospital.

VIDEO: Where will radiology AI be in 5 years?

Keith J. Dreyer, DO, PhD, FACR, American College of Radiology (ACR) Data Science Institute Chief Science Officer, explains 5 developments to watch for in radiology artificial intelligence (AI).

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How 'bunker shifts' increase radiologist productivity and decrease long-list anxiety

After day shifts began bleeding into night shifts at frustratingly frequent rates, one radiology practice in Kentucky devised a plan to get its lengthy worklists back on track—enter the “bunker shift.”

Family-med POCUS is growing strong, but problems aren’t solving themselves

Close to 90% of family-medicine departments at U.S. medical schools employ one or more faculty members trained in point-of-care ultrasound, including 7% that are presently training at least one (or one more).

Technologist ‘learning opportunities’ vastly outnumber imaging ‘do-overs’ across almost 1 million exams

Reviewing a 20-month run with a radiologist-to-technologist communications tool, researchers have found minor problems with image quality 10 times more common than patient callbacks for repeat imaging.

Niagara Health System in Canada chooses enterprise-wide imaging solution from Sectra to improve patient care

The solution will support Niagara Health’s growing imaging demands and provide efficient workflows to improve diagnostics and patient care within the Niagara region.

Arl Van Moore, MD, American College of Radiology (ACR) delegate to the American Medical Association (AMA) House of Delegates, former ACR president, chairman of the ACR Board and former CEO of Strategic Radiology, discusses two radiology related policy decisions at the AMA 2022 meeting. These included a AMA policy on the iodine contrast shortage and AUC CDS. #AMA #AMA22 #AMAmtg #AMA175 #ACR

VIDEO: Radiology takeaways from the 2022 AMA meeting

Arl Van Moore, MD, American College of Radiology (ACR) delegate to the American Medical Association House of Delegates, former ACR president, chairman of the ACR Board and former CEO of Strategic Radiology, discusses radiology-related policy decisions at the AMA 2022 meeting.

Around the web

The nuclear imaging isotope shortage of molybdenum-99 may be over now that the sidelined reactor is restarting. ASNC's president says PET and new SPECT technologies helped cardiac imaging labs better weather the storm.

CMS has more than doubled the CCTA payment rate from $175 to $357.13. The move, expected to have a significant impact on the utilization of cardiac CT, received immediate praise from imaging specialists.

The all-in-one Omni Legend PET/CT scanner is now being manufactured in a new production facility in Waukesha, Wisconsin.

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