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.

New publicly available deep learning model for CT organ segmentation in children shows promise
The model was developed and validated specifically for liver, spleen and pancreas segmentation, and outperformed a publicly available segmentation model already in use.
New research offers reminder of why ChatGPT should not be used for second opinions
Although these tools have proven themselves valuable in numerous settings, they must be used with caution, especially by patients and nonradiologist providers who may be seeking clarification on imaging reports.
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'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.

ACR, Penn Medicine announce partnership to bring advanced analytics into everyday radiology practice

The pair has already developed the Cancer Imaging Phenomics Toolkit, a software platform that analyzes brain, breast and lung cancer images.

October 14, 2020

Former Mayo Clinic worker wrongly accessed 1,600 patient records, including medical images

The Rochester, Minnesota, system is notifying patients who received care at its Florida and Arizona locations.

October 9, 2020

Top-Down Decision Stretches Enterprise Imaging across Texas University Health System

Sponsored by AGFA HealthCare

Last year the institutional leadership at Texas’s University Health System, which contracts with the UT Health San Antonio physician network, made the decision to move all inpatient imaging off the radiology department’s PACS and onto a new enterprise imaging (EI) platform. Their goal was internal consolidation.

October 8, 2020

5 tips for safeguarding PACS and imaging devices against cyberattacks

Continually updating software and using virus scanners should be among the top priorities for IT departments, experts explained in Academic Radiology.

October 6, 2020

Creating a better radiology report: 8 expert recommendations

Radiologists from the U.S., England and Australia shared their advice for improving these documents in RadioGraphics.

October 5, 2020

Delay likely as November start date for new interoperability rules ‘nearly infeasible,’ ACR says

In April, the federal government pushed back enforcement of the new rules due to flexibility concerns for healthcare systems battling COVID-19.

October 1, 2020

Even novice radiologists benefit from RSNA's new COVID-19 reporting guidance

Attendings and trainees showed strong agreement when using the framework, experts explained in Radiology: Cardiothoracic Imaging.

September 10, 2020

Less than 40% of providers adhere to radiologists’ follow-up recommendations for incidental findings

Standardized reporting and communication could boost that figure much higher, researchers suggested in JACR.

August 25, 2020

Around the web

Cardiovascular Business

AI improves CT assessments, boosts care for real-world heart patients

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.

Cardiovascular Business

AI predicts cardiovascular risk during CT scans—no invasive tests or contrast required

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

Radiology Business

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.

Enterprise Imaging

New publicly available deep learning model for CT organ segmentation in children shows promise

New research offers reminder of why ChatGPT should not be used for second opinions

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

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

Natural language processing spots reporting gaps, racial bias

Around the web