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.

RSNA 2019: Enterprise imaging a work in progress for the foreseeable future

Hospitals and health systems taking the leap into enterprise imaging have some pressing questions to consider, including who controls the imaging data?

December 4, 2019

INFINITT to showcase INFINITT PACS 7.0, an AI-empowered, Intelligent PACS, at RSNA 2019

INFINITT North America, award–winning developer of enterprise image management solutions for healthcare, will be highlighting a next generation, AI-empowered PACS viewer at RSNA 2019.

November 22, 2019

Google axed release of vast x-ray dataset following NIH privacy concerns

The Silicon Valley giant was set to publish a dataset containing 100,000 chest x-rays, until it received an urgent call from the National Institutes of Health.

November 15, 2019
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3 patients dead after UK hospital failed to escalate imaging findings

St. George University Hospitals Foundation Trust in the U.K. admitted that missed radiology findings contributed to the death of three patients at its hospital, according to reporting from Health Services Journal.

November 11, 2019

Publicly available imaging datasets may not be as reliable as radiologists think

An Australian researcher found labeling problems, some "significant," within two large, publicly available medical imaging datasets.

November 7, 2019

O-RADS: A new reporting system for ovarian, uterine masses

The Ovarian-Adnexal Reporting and Data System combines a common North American approach with a widely used European algorithmic technique, created by an American College of Radiology-sponsored team.

November 5, 2019

Software accurately identifies patients using brain MRI scans, Mayo study finds

Facial recognition software paired patient photographs to their corresponding MRI scans 83% of the time, according to new research out of the Mayo Clinic.

October 24, 2019
How radiology should prepare for AUC clinical decision support reporting requirements. CMS to require AUC CDS January 1, 2023.

Radiologists can help pediatric physicians optimize clinical decision support tools

On Jan. 1, 2020, the Protecting Access to Medicare Act of 2014 will require that physicians consult appropriate use criteria for ordering advanced imaging studies. Radiologists can help make sure clinical decision support tools help, not hurt imaging decisions.

October 16, 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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