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.

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.
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?
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.
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.
5 takeaways from new ACR, Society for Imaging Informatics in Medicine cybersecurity guidance
The two recently convened a panel of multidisciplinary stakeholders to discuss this issue, including radiologists, technologists, informaticists and physicists.

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?

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.

cybersecurity hacker ransomware cyber data breach

5 takeaways from new ACR, Society for Imaging Informatics in Medicine cybersecurity guidance

The two recently convened a panel of multidisciplinary stakeholders to discuss this issue, including radiologists, technologists, informaticists and physicists.

data migration file transfer enterprise imaging

Join our live webinar on Wednesday: Data migration lessons from the University of California, San Francisco

Enterprise Imaging experts will share advice in a Radiology Business webinar Aug. 13, exploring how they’re tackling the task of migrating over 1.6M imaging files after a large-scale acquisition.

GPT-4o translates radiology reports written in different languages in less than 30 seconds

These findings could have positive implications for regions with diverse patient populations, authors of a new analysis suggest.

Large language models outperform physicians at imaging modality selection, study shows

New findings highlight the “remarkable potential” of these artificial intelligence tools in improving radiology workflows.