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.

Cardiology still No. 2 in FDA-cleared clinical AI algorithms, trailing only radiology
Cardiology continues to be one of the most influential healthcare specialties when it comes to utilizing artificial intelligence.
Eye-tracking reveals radiologists' reading habits when utilizing AI support
Rather than test artificial intelligence's ability to detect malignant lesions on imaging, researchers instead recently explored how it impacts radiologists' interpretation processes.
Most oncologists prefer cancer-specific structured radiology reports
Despite this, not all radiologists are on board with routinely using oncology templates.
'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.

An example of artificial intelligence automated coronary artery calcium scoring shown by Coreline at ACC23. The AI also identifies and color codes the anatomy so help show the reviewing radiologist or cardiac imager what and where things were calculated. #ACC #ACC23

Cardiology still No. 2 in FDA-cleared clinical AI algorithms, trailing only radiology

Cardiology continues to be one of the most influential healthcare specialties when it comes to utilizing artificial intelligence.

Eye-tracking reveals radiologists' reading habits when under the influence of AI

Eye-tracking reveals radiologists' reading habits when utilizing AI support

Rather than test artificial intelligence's ability to detect malignant lesions on imaging, researchers instead recently explored how it impacts radiologists' interpretation processes.

radiology report bubbles translate informatics imaging

Most oncologists prefer cancer-specific structured radiology reports

Despite this, not all radiologists are on board with routinely using oncology templates.

radiology reporting EHR health record CDS AUC

'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.

radiology trends x-ray imaging practice management

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.

cybersecurity cyberattack hack hackers lock protection

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.

Dana Smetherman, MD, MPH, MBA, FACR, chief executive officer of the American College of Radiology (ACR), explains a resolution at the American Medical Association (AMA) House of Delegates (HOD) 2025 meeting calling for requirements to add DICOM image interoperability to federal standards.

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.