Imaging Informatics

Imaging informatics (also known as radiology informatics, a component of wider medical or healthcare informatics) includes systems to transfer images and radiology data between radiologists, referring physicians, patients and the entire enterprise. This includes picture archiving and communication systems (PACS), wider enterprise image systems, radiology information. systems (RIS), connections to share data with the electronic medical record (EMR), and software to enable advanced visualization, reporting, artificial intelligence (AI) applications, analytics, exam ordering, clinical decision support, dictation, and remote image sharing and viewing systems.

RSS icon
Nicholas Galante

AI is revolutionizing radiology workflow and patient care

Sponsored by Viz.ai

In the rapidly evolving healthcare landscape, artificial intelligence (AI) is making significant strides in improving radiology workflow and patient care coordination. Nicholas Galante, MD, medical director of informatics at Radiology Associates of North Texas, recently discussed how technology from Viz.ai is transforming his radiology practice, enhancing efficiency, and ultimately benefiting patient outcomes. 

Konica Minolta Healthcare Americas Inc. and ImagineSoftware announced an integration agreement to integrate the ImagineOne artificial intelligence (AI)-driven platform for automated radiology billing with Konica Minolta’s Exa PACS-RIS solution.

Konica Minolta and ImagineSoftware partner to expand revenue cycle management offerings

Konica Minolta partnered with ImagineSoftware to integrate its AI-driven revenue cycle management platform into the Exa PACS-RIS solution. 

cyberattack cybersecurity IT

Chinese hackers use malware disguised as imaging viewers to steal patient data

The software has been primarily disguised as Philips’ DICOM MediaViewerLauncher.exe—a trusted program that enables patients to view their medical imaging on their own personal servers. 

Jason Poff, MD, director of innovation deployment for artificial intelligence (AI) at RadPartners, explains the five-step process he uses to evaluate medical imaging AI.

5 steps for evaluating radiology AI applications

Jason Poff, MD, director of innovation deployment for artificial intelligence at Radiology Partners, explains the process he uses to evaluate medical imaging AI. 
 

Thumbnail

How radiology groups can contain damage from future cyberattacks

Radiologists with Harvard Medical School gave guidance to peers in a perspective piece published Tuesday in Academic Radiology. 

data standardization Enlitic enterprise imaging

GE HealthCare taps Enlitic for large-scale imaging data migration plans

The duo announced the partnership on Monday, stating that the collaboration marks “a shift in how healthcare institutions approach data.” 

SimonMed

Radiology practice SimonMed Imaging suffers apparent ransomware attack

Hacker group Medusa claimed responsibility for the cyberattack on its blog, according to a report published Tuesday. 

Top performing PACS companies based on user feedback

Agfa and Sectra both performed well with end-user satisfaction scores in the 2025 Best in KLAS list of radiology IT systems.

Displaying 9 - 16 of 884

Around the web

Cardiovascular Business
FDA-cleared software increases throughput for flurpiridaz back-to-back rest-stress imaging

The new F-18 flurpiridaz radiotracer is expected to help drive cardiac PET growth, but it requires waiting between rest and stress scans. Software from MultiFunctional Imaging can help care teams combat that problem.

Health Imaging
MRI projectile incident likely to result in a 'seven-figure sum' repair bill for hospital

News of an incident is a stark reminder that healthcare workers and patients aren’t the only ones who need to be aware around MRI suites.

Health Imaging
American College of Radiology announces significant expansion of Lung Cancer Screening Registry

The ACR hopes these changes, including the addition of diagnostic performance feedback, will help reduce the number of patients with incidental nodules lost to follow-up each year.