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.

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.

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. 

Wieland Sommer Smart Reporting

Radiologist-founded technology startup Smart Reporting raises $25M

Munich, Germany-based TVM Capital Life Science led the Series C financing round with additional contributions from Bayern Kapital and existing investors. 

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.

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.

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.

wallet purse broke bankrupt

Small practices left vulnerable after Change Healthcare cyberattack, with some considering bankruptcy

"These survey data show, in stark terms, that practices will close because of this incident," said AMA President Jesse Ehrenfeld, MD.