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.

learning classroom student training

RSNA-sponsored imaging informatics course returns for 2024

The National Imaging Informatics Course is designed for fourth-year radiology residents, but is also relevant to any mid- or senior-level professional working with image data.

January 18, 2024
Video interview with Merge healthcare's General Manager of Imaging Ashish Sant on key trends in radiology IT and AI workflow orchestration at RSNA 2023. #RSNA #HealthIT #enterpriseimaging #PACS HealthAI

Radiology staffing shortages increasing demand for AI and cloud

Ashish Sant, general manager for Imaging at Merge explains how imaging informatics can help mitigate the radiology staffing shortage.

January 12, 2024
Video of Isaac Zaworski, president of Sectra U.S.A. Inc, discussing trends in radiology informatics system at RSNA 2023. #enterpriseimaging #RSNA #Sectra #RSNA23 #RSNA2023 #HealthIT #cloudstorage #SaaS #radiology

Trends in radiology enterprise imaging systems

Isaac Zaworski, president of Sectra U.S.A., believes AI can help radiology providers overcome some of the biggest challenges plaguing the specialty. 

January 9, 2024

American College of Radiology urges feds not to target physicians in enforcing info-blocking rule

HHS hopes to create new disincentives for providers who knowingly and unreasonably interfere with the exchange of health information. 

January 5, 2024
quality imaging appropriateness clinical decision support CAS AUC

Program for closing loop on follow-up imaging recommendations generates $1M in revenue, covers FTE costs

Such a "safety net" team also can help to reduce diagnostic errors due to missed and delayed diagnoses, Brigham and Women's experts detailed in JACR

January 5, 2024
cybercrime

Class action lawsuit filed against radiology group over cyberattack that impacted 600,000

Rachael Kuecher alleges that East River Medical Imaging PC in New York failed to encrypt sensitive data and implement standard security practices. 

December 14, 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

"This was an unneeded burden, which was solely adding to the administrative hassles of medicine," said American Society of Nuclear Cardiology President Larry Phillips.

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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