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.

Take Care of Maya johns hopkins attorneys seek retrial

Reads completed on 'less sophisticated' monitors have radiology group refuting claims of billing fraud in court

The suit claims the group wrongfully billed CMS for over $6 million in image reads that did not qualify for Medicare reimbursement due to the subpar computer monitors used to view the studies.

April 29, 2024
Sectra receives FDA approval for use of DICOM in digital pathology

Sectra receives FDA's first clearance for use of DICOM pathology images

The clearance covers the use of Sectra’s digital review application in conjunction with Leica’s Aperio GT 450 DX scanner.

April 29, 2024
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Natural language processing spots reporting gaps, racial bias

Finding such discrepancies is critical to the continuity of patient care, as medical records and reports are often utilized across multiple providers and facilities. 

April 24, 2024
interstitial lung disease reporting data system

Lung disease reporting system improves consistency—so why is it underutilized?

ILD-RADS was developed to address issues with inconsistency when reading high-resolution CT scans of the lungs in patients with a suspected interstitial lung disease.

April 19, 2024
chatgpt for patient questions about radiology

ChatGPT both passes and fails at translating free-text into structured reports

While the latest ChatGPT models show promise in easing the reporting burden on radiologists in the future, they aren't up to the task just yet.

April 17, 2024
ChatGPT large language models radiology health care

GPT-4 spots radiology report errors in less time, at a lower cost

The large language model can identify report errors seven times more quickly than human readers, new study reveals.

April 16, 2024
google cloud mayo clinic artificial intelligence

Google teams with Bayer to address radiologist burnout via AI

"Gen AI can help tackle repetitive tasks and provide insights into massive datasets, saving valuable time," Thomas Kurian, CEO of Google Cloud, said Tuesday. 

April 9, 2024
artificial intelligence AI heart cardiology

FDA assisting with new imaging 'marketplace' designed to improve AI

The Advanced Research Projects Agency for Health has launched a survey for stakeholders to provide input on the project’s development.

April 1, 2024

Around the web

Automated AI-generated measurements combined with annotated CT images can improve treatment planning and help referring physicians and patients better understand their disease, explained Sarah Jane Rinehart, MD, director of cardiac imaging with Charleston Area Medical Center.

Two advanced algorithms—one for CAC scores and another for segmenting cardiac chamber volumes—outperformed radiologists when assessing low-dose chest CT scans. 

"Gen AI can help tackle repetitive tasks and provide insights into massive datasets, saving valuable time," Thomas Kurian, CEO of Google Cloud, said Tuesday. 

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