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.

Video of Tracy Byers, CEO, Change Healthcare, explaining trends in the PACS market at RSNA 2023. #RSNA #enterpriseimaging #PACS #HealthIT

3 transformative trends in radiology IT systems

Tracy Byers, CEO of enterprise imaging, Change Healthcare, defines three major trends in radiology informatics in a video interview.

January 8, 2024
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Specialty hospital moves enterprise PACS to the cloud

RML Specialty Hospital serves patients in need of long-term hospital stays in the greater Chicago area.

December 20, 2023

If AI is the future, radiology needs to look to the cloud

In a recent journal op-ed, experts compared radiology's move to cloud to the shift from film to digital.

December 19, 2023

Collaboration brings AI-driven imaging standards to healthcare organizations

Enlitic and Infinitt North America hope their partnership will inspire new research.

December 18, 2023
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Sectra inks 10-year partnership with Scotland's NHS, moving 55M radiology studies to the cloud

The National Health Service in Scotland covers 14 territories and is seeking support for its professionals with the reading, sharing, and storage of over 5 million scans annually. 

December 12, 2023
Damaged Organ

AI model with single-source dataset outperforms multi-institution version

Despite the results, researchers still recommend using models trained on multi-institutional datasets.

December 12, 2023
Brain MRI AI assessment and segmentation on Fujifilm's Synapse system at RSNA 2023. Photo by Dave Fornell. #RSNA #RSNA23 #RSNA2023

PHOTO GALLERY: New technology at RSNA 2023

Images from the world's largest radiology conference include new technologies and the latest advances in MRI, CT, nuclear medicine, X-ray, artificial intelligence, and PACS/enterprise imaging.

December 11, 2023
Video interview with Nina Kottler, MD, MS, associate chief medical officer for clinical AI, Radiology Partners, explains what radiology practices should consider when assessing artificial intelligence (AI) return on investment in an era where there is little reimbursement. #RSNA #RSNA23 #RSNA2023 #HealthAI #AIhealthcare

Artificial intelligence ROI considerations in radiology

Rad Partners' Nina Kottler, MD, explains what practices should consider when assessing artificial intelligence solutions in an era where there is little reimbursement.  
 

December 6, 2023

Around the web

Automated AI-generated measurements combined with annotated CT images can improve treatment planning and help referring physicians and patients better understand their disease, explained Sarah Jane Rinehart, MD, director of cardiac imaging with Charleston Area Medical Center.

Two advanced algorithms—one for CAC scores and another for segmenting cardiac chamber volumes—outperformed radiologists when assessing low-dose chest CT scans. 

"Gen AI can help tackle repetitive tasks and provide insights into massive datasets, saving valuable time," Thomas Kurian, CEO of Google Cloud, said Tuesday. 

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