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.

Screening kids for spine injury risk factors may cut CTs by 50%

New research suggests screening kids for cervical spine injury (CSI) risk factors could reduce unnecessary CT scans by 50%, significantly limiting radiation exposure.

August 16, 2019

Survey examines parent communication preferences in pediatric radiology

Parents of pediatric radiology patients value speed over all other aspects of radiology results reporting, according to findings from a new survey published Aug. 14 in Academic Radiology.

August 14, 2019

How one health system improved the quality of patient imaging history

When radiologists have complete imaging histories of their patients they are more likely to provide better interpretations, but such information is often incomplete and inconsistent.

August 8, 2019

Lake Medical Imaging Selects INFINITT for Multi-Site RIS/PACS, Mammography PACS and Disaster Recovery

INFINITT North America, an award-winning developer of Enterprise Imaging solutions for radiology, cardiology, mammography and advINFINITT North America, award-winning developer of enterprise imaging solutions for radiology, cardiology, mammography, pathology and advanced visualization, will be implementing INFINITT RIS/PACS and INFINITT Mammo PACS at six Lake Medical Imaging facilities in The Villages and Leesburg, Florida.

August 8, 2019

CAD tool detects microcalcification clusters in mammograms

A fully automated algorithm can accurately detect microcalcification clusters in mammogram scans and may help reduce radiology workloads.

August 7, 2019
Workflow analytics

Hybrid workflow saves radiologists time, costs in imaging-related clinical trials

“For radiologists, who generally perform routine activities, involvement in clinical trials increases their workload and raises human resources issues at hospitals which are already running chronic medical deficits,” wrote authors of a new study published in the European Journal of Radiology.

July 29, 2019

CDS improves imaging order appropriateness, study shows

Clinical decision support (CDS) tools can improve the appropriateness scores of advanced imaging orders when used in clinical practice, according to a single-center analysis published in the American Journal of Roentgenology.

July 17, 2019
Blockchain generic

If healthcare learns to share, blockchain could transform radiology

Blockchain could be used to streamline preauthorization, share images between institutions and empower patients. But if healthcare as a whole isn't interested in sharing data, no technology can solve the industry's imaging informatics problems.

 

July 1, 2019

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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