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.

radiology reporting EHR health record CDS AUC

Radiology department adopts new incidental findings approach that’s closing cases at a 99% clip

Researchers with Northwestern University in Chicago detailed their novel system in an analysis published by the Journal of the American College of Radiology. 

HHS Secretary Robert F. Kennedy Jr.

HHS announces crackdown on providers failing to share radiology results, other info

Secretary Robert F. Kennedy Jr. has directed the agency to increase resources dedicated to curbing the “harmful practice of information blocking.” 

Radiologist beware: Patients accessing imaging results much quicker after legislative change

Outpatients treated at the Mayo Clinic saw a nearly 78% drop in the median time it took to access their radiology reports, falling from about 4.9 hours down to 1.1 after the Cures Act.

radiologist radiology pay compensation money dollar

Pivoting to a pay per study model—join our webinar Tuesday

Join three imaging experts on Aug. 26 to learn more about imaging storage-as-a-service in which you pay once to save and manage a study forever, with costs as low as 2.5 cents per exam.

radiology structured reporting data mining

Could ChatGPT be up to the task of monitoring AI drift?

Artificial intelligence tools in radiology require constant monitoring to ensure model performance remains consistent.

Amy Thompson from Signify Research explains integration of AI into CVIS systems

AI now embedded in nearly every cardiovascular IT system

Artificial intelligence's role in day-to-day patient care continues to grow. What should health systems and cardiology departments be thinking about as they shop for new technologies?

Thumbnail

AI company to develop radiology-specific LLM reporting assistant

The system will assist radiologists by identifying lesions and drafting a single-sentence, localization-aware report alerting readers to the finding.

Healthcare IT analyst Amy Thompson from Signify Research explains trends in cardiology information systems at ACC 2025.

Cardiovascular IT systems keep evolving with AI, Epic integration on the rise

A Signify Research representative highlights key trends in cardiovascular IT systems, including the growing role of AI and much more.