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."

Signify Research: 4 trends to watch for at RSNA 2018

With the Radiological Society of North America (RSNA)'s 2018 annual conference fast-approaching, Steve Holloway, with U.K.-based healthcare technology consultancy Signify Research, identified four trends expected to emerge at the 104th meeting on Nov. 25 to 30 in Chicago.

How a Wisconsin system used existing DICOM infrastructure to save time, money

Providers at Marshfield Clinic Health System (MCHS) in Marshfield, Wisconsin, utilized existing DICOM infrastructure to build software that improved its non-radiology imaging quality, access and costs, according to a study published Sept. 4 in the Journal of Digital Imaging.

Eye on Canada: 3 Views on PACS Priorities

Sponsored by Sectra

With PACS as with any healthcare-specific technology, some universal expectations are common to all end-users and their IT support teams. Yet there are also as many unique sets of preferences as there are PACS stakeholders.

Dicom de-identifies 5.3M medical imaging exams, demonstrates AI on-ramp feature

Dicom Systems has recently de-identified 5.3 million radiology exams and other medical imaging data for the Hospital for Special Surgery in New York. The effort demonstrates Dicom’s support towards artificial intelligence (AI) research and innovation in healthcare, according to a recent Dicom release.

Nominations open for RADxx awards to honor women in medical imaging informatics

Rad Women—a networking group for women in radiology and imaging informatics also known as RADxx or #radxx—is now accepting nominations for its second annual awards program. The initiative began last year as a way of honoring women in the field, along with men and women who have supported career advancement of women in medical imaging informatics.

Large-scale annotation makes it easier to apply deep learning to mammography datasets

A team of researchers has developed a process for large-scale clinical data annotation that makes it easier to apply deep learning to mammography, according to a new study published in the Journal of Digital Imaging.

CDC: Imaging reports among most common PHI physicians share electronically

Medical imaging reports are the second most common type of patient health information (PHI) received electronically by physicians, according to a new report from the Centers for Disease Control and Prevention (CDC). A majority of physicians who use electronic health records (EHRs) also send imaging reports, search for them and integrate them into their own records.

Follow-up for abnormal mammograms more successful over the phone

Communicating verbally—whether that’s over the phone, in person or through voicemail—is the best way to achieve timely follow-up with breast imaging patients whose mammograms are inconclusive, according to a study published ahead of print in Academic Radiology.

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