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.

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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. 

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Large language model reads radiologists' notes to flag patients for follow-up imaging

Parkland Health experts involved in the LLM's development believe that the use of such tools could improve diagnostic accuracy and patient outcomes. 

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Combining structured reporting with AI drastically reduces turnaround times

Both structured reporting and AI support have been touted as promising solutions for streamlining workflows while also making radiologists' results more consistent.

Sectra, Agfa, Infinitt and other notable radiology vendors among the 2026 Best in KLAS

Data contained in the rankings reflect the experiences of thousands of providers and payer organizations, making the designation a coveted achievement for vendors. 

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

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Integration challenges may hinder trust in radiology decision support tools

Authors of a new paper caution that integrating CDS tools “is as much an organizational and cultural process as a technological one."

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