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.

SIIM offers opportunity for imaging information champions
Education through the organization provides the knowledge needed for clinicians to work with IT teams to implement major system projects.
Noted North Carolina private radiology practice experiences data breach
Winston Salem-based Triad Radiology Associates reported news of the “data security incident” on Feb. 8, with attorneys mulling a lawsuit.
How Radiology Partners is using large language models to monitor AI deployment
This type of tracking helps a practice understand how radiologists interact with AI, whether they're appropriately rejecting incorrect results, and if the technology is improving detection of important findings.
HHS exploring how to bolster medical imaging exchange across healthcare ecosystem
The Office of the National Coordinator for Health Information Technology recently released a call for public comment on the work of radiologists
Current imaging AI systems can be repurposed to address future pandemics, study asserts
Experts say these new findings represent “a significant advancement in the field of radiology."

Alex Towbin, MD, FAAP, FACR, FSIIM, SIIM chair-elect, radiologist, associate chief medical information officer, associate chief, Department of Radiology, and the Neil D. Johnson Chair of radiology informatics, Cincinnati Children's Hospital, and Sylvia Devlin MS, RT, CIIP, FSIIM, SIIM treasurer and director of customer success imaging informatics, Radiology Partners, explain how SIIM helps make clinician imaging informatics champions.

SIIM offers opportunity for imaging information champions

Education through the organization provides the knowledge needed for clinicians to work with IT teams to implement major system projects.

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Noted North Carolina private radiology practice experiences data breach

Winston Salem-based Triad Radiology Associates reported news of the “data security incident” on Feb. 8, with attorneys mulling a lawsuit.

Walter Wiggins, MD, PhD, a neuroradiologist and director of clinical AI at Mosaic, explains how large language model (LLM) artificial intelligence is increasingly being used in radiology to extract structured data from narrative radiology reports to improve workflow, and to help validate, monitor and improve other AI tools being used in clinical practice.

How Radiology Partners is using large language models to monitor AI deployment

This type of tracking helps a practice understand how radiologists interact with AI, whether they're appropriately rejecting incorrect results, and if the technology is improving detection of important findings.

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HHS exploring how to bolster medical imaging exchange across healthcare ecosystem

The Office of the National Coordinator for Health Information Technology recently released a call for public comment on the work of radiologists

Chest radiograph in a 53-year-old woman with confirmed coronavirus disease 2019, or COVID-19, pneumonia. The patient had fever and cough for 5 days. Multifocal patchy opacities (arrows) can be seen in both lungs. Image courtesy of RSNA. What COVID looks like ob CT medical imaging.

Current imaging AI systems can be repurposed to address future pandemics, study asserts

Experts say these new findings represent “a significant advancement in the field of radiology."

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GPT-4o outperforms radiologists at CT protocoling

Context is the key to accurate and effective large language model protocoling for CT scans, according to new research.

Rad Partners commercializes teleradiology platform pioneered by acquired company vRad

The product is a fully integrated, artificial intelligence-enabled technology tool, providing real-time analytics to interested outside radiology groups.

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Radiology experts advocate against purging decade-old imaging data

Researchers with the University of Virginia recently aimed to answer this question, sharing their findings in the Journal of Imaging Informatics in Medicine.