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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New AI tool helps radiologists reduce read times by up to 40%

Its use dropped the average time needed to examine a finding at all timepoints from 107 seconds to 65 seconds, with pulmonary nodule assessments benefiting from the greatest reductions.

Scan workflow WVU radiology

Remote radiologists prioritize financial gain when choosing reads: 2 possible fixes

An intense focus on RVU productivity may have unintended negative consequences, experts wrote in the Journal of Operations Management.

Rajesh Bhayana MD Toronto General Hospital in Toronto on ChatGPT passing radiology board.

Latest version of ChatGPT AI passes radiology board exam

However, GPT-4 confidently delivered incorrect or irrelevant answers on some questions, according to new research in Radiology. 

Google's latest large language model is poised to give ChatGPT a run for its money in imaging

One of the main goals of Med-PaLM 2 is to “synthesize information like X-rays and mammograms to one day improve patient outcomes.” 

Natural language processing helps increase follow-up imaging adherence, resulting in significant revenue

A new paper details how a team at the University of California utilized a hybrid system consisting of a quality coordinator and NLP software to bring in more than $60,000 in additional revenue from follow-up imaging alone.

Amit Trivedi, HIMSS director of informatics and health IT standards explains the human factor in interoperability is often overlooked. #HIMSS #HIMSS23

Health IT needs to develop its workforce and become more involved in setting informatics standards

Amit Trivedi, HIMSS director of informatics and health IT standards, explains the importance of the human role in interoperability.

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Nearly 90% of significant incidental findings on lung cancer screenings are considered reportable

These findings highlight a need for more stringent and standardized reporting guidelines relative to incidental findings, authors of the new study suggested.

ChatGPT chatbot

ChatGPT helps radiologist churn out 16 papers in 4 months

“Healthcare is going to change. Writing is going to change. Research is going to change. I’m just trying to publish now and show it so people can know about it and explore more.”