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.

Personal, medical info on 2 million radiology patients may be in hands of cybercriminals

A family-owned provider organization that supplies advanced imaging and radiation oncology services at more than 30 locations has fallen victim to a sizeable cyberattack.

Pure Storage Redefines AI-Ready Infrastructure, Speeds Time to Insights with AIRI//S Built on NVIDIA DGX Systems

AIRI//S provides pre-validated, simple, scalable infrastructure for all stages of the AI data pipeline.

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SIIM 2022: Implementing AI in low-resource countries

With the help of AI, technologists at a hospital in Guyana were able to reduce mammographic positioning error rates from 20% to 5%.

DiA Imaging Analysis, which specialized in developing the AI-based automated cardiac ultrasound solution LVivo Seamless. The technology is now integrated through partnerships with dozens of healthcare vendors, including ScImage, GE Healthcare, Philips Healthcare Konica Minolta and IBM Watson.

ScImage latest vendor to adopt DiA Imaging Analysis AI for echocardiography

Artificial intelligence vendor DiA has emerged as a key third-party provider of AI to larger imaging vendors.

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VIDEO: What to look for in radiology workflow orchestration software

Elizabeth Bergey, MD, a diagnostic radiologist at Quantum, chairman of Quantum’s Board of Directors, discusses some of the questions radiology practices should be asking when evaluating orchestration software.

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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.

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.

Skyrocketing rates of head CT in the ED: Don’t look at advanced practice providers

The meteoric rise of noncontrast head CT in emergency settings is not explained by the conspicuous proliferation of nurse practitioners and physician assistants in the ED.