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.

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
Monique Rasband, KLAS vice president of strategy and research for imaging, cardiology and oncology, shares the trends she is seeing with the use of cloud storage in medical imaging. 

Cloud image storage for radiology is a growing trend in healthcare

Monique Rasband, KLAS vice president of strategy and research for imaging, shares the trends she is seeing in the specialty.

November 13, 2023
Efficiency

Imaging chain uses automated DICOM data entry, improves report efficiency by 25%

RadNet also reported a 27% reduction in ultrasound-related clinical data errors when using Passport SR.

November 10, 2023

Fujifilm Healthcare providing image data management for Pentagon

Fujifilm Healthcare can now offer its Synapse 7x service to all organizations within the DoD.

November 9, 2023
radiology report bubbles translate informatics imaging

Enterprise imaging software takes aim at managing actionable incidental findings

Softek Illuminate has unveiled Discovery360, a radiology workflow management meant for closing the loop on unexpected radiology results. 

November 8, 2023
Radical Imaging's FlexView

Integration moves radiology image viewing and analysis onto single platform

Radical Imaging's FlexView now integrates with the Apollo Enterprise Imaging suite. 

November 3, 2023

Around the web

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

SCAI and four other major healthcare organizations signed a joint letter in support of intravascular ultrasound. 

The newly approved AI models are designed to improve the detection of pulmonary embolisms and strokes in patients who undergo CT scans.

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