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.

SIIM 2022: OTech's training assets acquired by SIIM

In addition to the eBooks, study guides and a Virtual Hospital Platform simulator for hands-on training that were acquired, SIIM will now also own various “go to market” courses in subjects such as PACS, DICOM, HL7 and FHIR.

June 10, 2022
Meaningful Use and radiology

SIIM 2022: 5 ways voice-triggered macros can improve radiologist workflow

Voice-triggered macros are spoken voice commands that trigger a subsequent command in order to perform a specified task. Software that achieves this is easily implemented into workflows and can complete virtually innumerable tasks. 

June 10, 2022
Cybercrime

SIIM 2022: 7 ways to be ever-prepared for cyberattack

Some decisions after a cyberattack are reactive and made on the fly, but imaging operations can take a number of steps ahead of time to plan for unplanned downtime and limit the impact of a temporary outage.

June 10, 2022

Pure Storage Redefines AI-Ready Infrastructure, Speeds Time to Insights with AIRI//S Built on NVIDIA DGX Systems

AIRI//S provides pre-validated, simple, scalable infrastructure for all stages of the AI data pipeline.

June 9, 2022
Map

SIIM 2022: Implementing AI in low-resource countries

With the help of AI, technologists at a hospital in Guyana were able to reduce mammographic positioning error rates from 20% to 5%.

June 9, 2022
DiA Imaging Analysis, which specialized in developing the AI-based automated cardiac ultrasound solution LVivo Seamless. The technology is now integrated through partnerships with dozens of healthcare vendors, including ScImage, GE Healthcare, Philips Healthcare Konica Minolta and IBM Watson.

ScImage latest vendor to adopt DiA Imaging Analysis AI for echocardiography

Artificial intelligence vendor DiA has emerged as a key third-party provider of AI to larger imaging vendors.

June 7, 2022
What to look for in radiology workflow orchestration software. Enterprise wide advanced visualization

VIDEO: What to look for in radiology workflow orchestration software

Elizabeth Bergey, MD, a diagnostic radiologist at Quantum, chairman of Quantum’s Board of Directors, discusses some of the questions radiology practices should be asking when evaluating orchestration software.

June 3, 2022
One of the big problems in radiology today is the selective cherry picking of the easier, more desirable cases from the DICOM work lists and leaving the more complicated studies for other radiologists, leading to radiologist burnout. Several vendors now offer radiology workflow orchestration software engines to help load balance reading lists. Image from Sectra.

How to prevent cherry picking on radiology worklists

One of the problems in radiology today is the selective cherry picking of the easier, more desirable cases from the DICOM worklists and leaving the more complicated studies for other radiologists, which is one of the factors in radiologist burnout.

June 3, 2022

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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