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.

August 17, 2022
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.
 

August 16, 2022
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).

August 16, 2022
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.

June 22, 2022
The ASNC is one of several medical imaging societies asking Congress to repeal the appropriate use criteria (AUC) criteria mandate. They say it poses issues for clinicians and is becoming outdated by changes in CMS payment systems. The AUC requirements call for documentation using CVMS authorized software in order to show advanced imaging such as nuclear and CT is justified, or else Medicare payments might be withheld.

VIDEO: AMA will ask Congress to revise clinical decision support mandate for cardiac imaging

American Society of Nuclear Cardiology (ASNC) delegates to the American Medical Association (AMA) House of Delegates 2022 meeting Stephen Bloom, MD, and Nishant Shah, MD, explain a new AMA policy asking Congress to revise its clinician decision support mandate. 

June 22, 2022
One of the big problems in radiology today is the selective cherry picking of the easier, more desirable cases from the DICOM work lists and leaving the more complicated studies for other radiologists, leading to radiologist burnout. Several vendors now offer radiology workflow orchestration software engines to help load balance reading lists. Image from Sectra.

How to prevent cherry picking on radiology worklists

One of the problems in radiology today is the selective cherry picking of the easier, more desirable cases from the DICOM worklists and leaving the more complicated studies for other radiologists, which is one of the factors in radiologist burnout.

June 3, 2022
A radiologists reading station, image from Sectra

VIDEO: How to Prevent Radiologist Burnout

Elizabeth Bergey, MD, a diagnostic radiologist at Quantum, chairman of Quantum’s board of directors, explains some of the issues that cause burnout and how technology can help mitigate issues that cause radiologists to leave.

June 2, 2022
Elizabeth Bergey, MD, a diagnostic radiologist at Quantum, explained how the radiology group orchestrates its work lists for load balancing at the 2022 Radiology Business Management (RBMA) meeting.

VIDEO: Approaches to intelligent radiologist worklist orchestration

Elizabeth Bergey, MD, a diagnostic radiologist at Quantum, chairman of Quantum’s Board of Directors, explains how the radiology group orchestrates its work lists for load balancing using an AI-driven IT system for its work lists.

June 1, 2022

Around the web

Jeffrey Kuvin, MD, one of the leading voices behind efforts to create a new Board of Cardiovascular Medicine, spoke with Cardiovascular Business about where things stand today.

Half a year after President Biden officially directed federal agencies in the executive branch’s bailiwick to “seize the promise and manage the risks” of AI, the White House has posted a status report.

U.S. physicians often receive payments from medical device manufacturers and pharmaceutical companies. New research in JAMA found a connection between receiving such payments and using specific devices—should the industry be concerned? 

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