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.

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Pre-procedure patient questionnaires reduce IR scheduling hiccups

Increased demand for interventional procedures has inevitably resulted in more patients with complex medical needs entering the IR suite.

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American-made GPT-4 knows no borders, translates radiology reports into different languages

New research highlights the potential of GPT-4 to enhance radiologists’ communication of findings in clinical environments across the pond.

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How often does mid-treatment imaging change how cancers are managed?

Imaging might not drive as many treatment adjustments as previously believed, according to a new meta-analysis.

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Referrers want more structured radiology reports

Ordering physicians believe templated reporting more clearly communicates impressions regarding neuro patients, which often require more complex workups and management.

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New AI-enabled platform could be 'game changer' for opportunistic screening in women

The platform was designed to enhance the early detection of health conditions known to affect women in their 40s and older, including breast cancer, cardiovascular disease and osteoporosis.

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RamSoft and Alpha Nodus partner to streamline imaging prior authorization processes

RamSoft, a leader in cloud-based RIS/PACS radiology solutions, and Alpha Nodus, a developer of AI-driven administrative tools for medical offices, announced their partnership on Wednesday. 

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MRI-based Node-RADS effectively improves staging of head and neck cancer

Use of the scoring system could offer providers valuable preoperative insight and help guide them in surgical decisions. 

Manisha Bahl, MD, breast imaging division quality director and breast imaging division co-service chief, Massachusetts General Hospital, and an associate professor of radiology, Harvard Medical School, explains the findings of a recent study she was involved in at RSNA 2024. She also offers insights into growing interest at sessions in using AI in breast imaging.

What radiologists think about using ChatGPT and AI in breast imaging

Manisha Bahl, MD, explained that ChatGPT and other large language models offer significant potential to help radiologists with breast imaging exams, but they are "not quite ready for primetime."

Around the web

Radiology practices are already operating on razor thin margins, with price increases prompting calls for congressional action to prevent further damage. 

United Imaging and other manufacturers that have established American factories may remain insulated from the trade war.

Erik Rockswold, director research and quality, Rayus Radiology, explains the administrative burdens radiology groups experience for little return from the Merit-Based Incentive Payment System.