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.

SimonMed Imaging gives official notice of cyberattack weeks after initial reports
The Scottsdale, Arizona-based radiology practice issued a notice to impacted parties on March 28 after reports of the hack first started surfacing in mid-February.
RamSoft and Alpha Nodus partner to streamline imaging prior authorization processes
RamSoft, a leader in cloud-based RIS/PACS radiology solutions, and Alpha Nodus, a developer of AI-driven administrative tools for medical offices, announced their partnership on Wednesday.
FBI issues alert on notorious ransomware group that targeted radiology practice
Medusa has hacked over 300 victims including SimonMed Imaging, hospitals, law firms and manufacturers, according to the federal cybersecurity advisory.
MRI-based Node-RADS effectively improves staging of head and neck cancer
Use of the scoring system could offer providers valuable preoperative insight and help guide them in surgical decisions.
What radiologists think about using ChatGPT and AI in breast imaging
Manisha Bahl, MD, explained that ChatGPT and other large language models offer significant potential to help radiologists with breast imaging exams, but they are "not quite ready for primetime."

RSNA 2018: 4 ways radiology departments are preparing for big data

Artificial intelligence (AI) and big data can help radiologists provide better care while reducing costs, but a majority of institutions lack the infrastructure to optimally consume and utilize these technologies, said Paul Chang, MD, of the University of Chicago, during RSNA's 2018 Annual Meeting.

CDS-generated report cards help reduce imaging orders for lower back pain

Using clinical decision support (CDS) to send primary care providers (PCPs) personalized report cards evaluating their ordering decisions can reduce outpatient lumbar spine (LS) MRI orders for lower back pain (LBP), according to a new study published in the American Journal of Roentgenology.

Radiologists inconsistent with how they convey diagnostic certainty

Diagnostic certainty phrases (DCPs) are common in radiology reports, helping the radiologist convey certainty in an imaging finding or its clinical significance. According to a new study published in Academic Radiology, however, radiologists use a wide variety of DCPs, and reducing this variation could improve the overall quality of radiology reports.

Amazon releases AI language processing service for patient records, radiology reports

Tech company Amazon has launched a new medical language processing service that, by using artificial intelligence (AI), can extract data from patient records and reports to help healthcare professionals make better treatment decisions, address data privacy and decrease overall costs, according to a report published Nov. 28 by TechCrunch.

What radiologists should know about point-of-care photographs

Point-of-care photographs obtained at the same time as medical imaging studies can be helpful for radiology providers. According to a new perspective piece published in the American Journal of Roentgenology, however, specialists should still make sure they do their homework before using such photographs in their practice.

RSNA 2018: What to make of the increased hype surrounding AI in radiology

Radiologist Paul Chang, MD, medical director of enterprise imaging at the University of Chicago, began his presentation Tuesday, Nov. 27, at RSNA 2018 by saying radiologists were in need of a reality check when it comes to artificial intelligence (AI).

RSNA 2018: Researchers turn to AI to protect imaging equipment from cyberattacks

Medical imaging equipment is highly susceptible to cyberattacks, putting hospitals and imaging centers at a serious risk of losing functionality of those systems and even having data stolen by an outside entity. This concerning issue is the focus of two studies being presented at RSNA 2018 in Chicago.

Ambra Health and Google Cloud Collaborate to Advance Healthcare Research with Anonymized Medical Imaging Data

Ambra Health, makers of the leading cloud-based, medical image management suite, today announced a new collaboration with Google Cloud to advance healthcare research with anonymized medical imaging data.

Enterprise Imaging

SimonMed Imaging gives official notice of cyberattack weeks after initial reports

RamSoft and Alpha Nodus partner to streamline imaging prior authorization processes

FBI issues alert on notorious ransomware group that targeted radiology practice

MRI-based Node-RADS effectively improves staging of head and neck cancer

What radiologists think about using ChatGPT and AI in breast imaging