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.

'Technical issue' prevents providers from receiving alerts on actionable imaging findings for 3 years
The system uses color coded flags to alert general practitioners that a patient's imaging report contains "serious or unexpected” findings.
Generative AI model shows potential for reading chest X-rays used for TB screenings
Generative artificial intelligence models have shown great potential for improving multiple aspects of the radiology field, but a new analysis cautions that they still require significant oversight.
Radiology practice reportedly shutters after cyberattack, selling its property to local hospital system
Patients have filed a proposed class-action lawsuit against Pinehurst Radiology Associates, claiming it failed to protect their medical records.
4 cybersecurity best practices for radiology groups
Digitization of exams has made the imaging industry a “prime target” for cybercriminals, experts wrote recently in the Journal of the American College of Radiology.
Radiologists call on AMA to push for new federal IT interoperability standards
Dana Smetherman, MD, CEO of the ACR, explains a resolution adopted at the American Medical Association House of Delegates meeting calling for new health IT standards.

Radiologists help launch Uber-like service providing imaging consultations across the globe

Experts first designed the program in 2022 to provide subspecialty advice to clinicians in war-torn Ukraine.

FDA adds more than 120 new AI-enabled medical devices focused on radiology to list of approvals

The FDA has cleared over 150 artificial intelligence- or machine learning-enabled medical devices since the beginning of August.

Key trends in enterprise imaging

Radiology is going though a period of disruption with a growing radiologist shortage, decreasing reimbursements and increasing numbers of exams, making workflow efficiency a critical concern.

Cloud-based platforms could expand teleradiology access to tens of thousands of patients in need

Dedicated teleradiology services could expand quality healthcare in regions where access and staffing shortages hinder patient care the most.

merger acquisition handshake deal business agreement partnership

Siemens Healthineers inks data sharing deal with Blue Earth to bolster development of prostate cancer AI

Blue Earth will be sharing anonymized clinical data from its Phase 3 Lighthouse trial involving the use of PET imaging agent Posluma.

Point-based risk prediction model reduces prostate biopsies by up to 20%

The model incorporates specific data from MRI exams with patient risk factors to predict whether a person is likely to develop clinically significant prostate cancer.

radiology report bubbles translate informatics imaging

Contextualized vs. structured reports—which templates are better?

Contextualized reports differ from structured reports in that they focus on specific clinical indications, rather than a basic standardized checklist of anatomical regions that does not always address a particular concern.

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.

Enterprise Imaging

'Technical issue' prevents providers from receiving alerts on actionable imaging findings for 3 years

Generative AI model shows potential for reading chest X-rays used for TB screenings

Radiology practice reportedly shutters after cyberattack, selling its property to local hospital system

4 cybersecurity best practices for radiology groups

Radiologists call on AMA to push for new federal IT interoperability standards