Imaging Informatics

Imaging informatics (also known as radiology informatics, a component of wider medical or healthcare informatics) includes systems to transfer images and radiology data between radiologists, referring physicians, patients and the entire enterprise. This includes picture archiving and communication systems (PACS), wider enterprise image systems, radiology information. systems (RIS), connections to share data with the electronic medical record (EMR), and software to enable advanced visualization, reporting, artificial intelligence (AI) applications, analytics, exam ordering, clinical decision support, dictation, and remote image sharing and viewing systems.

ChatGPT large language models radiology health care

Latest version of ChatGPT has potential as a clinical decision support tool

Large language models could have feasibility in the future as clinical support tools that triage patients for imaging services—with additional updates and more training, of course.

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AI startup aiming to build world’s largest medical imaging library raises $2.75M

Gradient Health's database now spans 10 countries, 1,000 hospitals, and more than 350 million patient studies.

Radiology IT expert Rik Primo explains issues with interfacing EMR data into radiology PACS. #interoperability #PACS

Improving interoperability between the PACS and EMR

Radiologists need better access to patient data stored in the electronic medical record, imaging IT expert Rik Primo explains. 

Radiology IT expert Rik Primo discusses trends he sees in imaging informatics at HIMSS and RSNA.

3 key radiology IT systems trends 

Imaging IT expert Rik Primo discusses emerging issues he saw at RSNA and HIMSS.

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Closed-loop communication tool improves value of radiologists' recommendations

Patients might sometimes undergo unnecessary and costly evaluations when specialists do not provide referrers with all of the necessary information. 

ChatGPT chatbot

ChatGPT effectively simplifies radiology reports, presents 'real opportunity' to better inform patients

Radiology reports are typically written in language well above the average American adult’s eighth grade reading level, making them a source of confusion for patients.

artificial intelligence robot evaluates healthcare data

‘AI doctor’ reads radiology reports, other physician notes to predict patient outcomes

"Large language models make the development of ‘smart hospitals’ not only a possibility, but a reality,” said Eric Oermann, MD, an assistant professor in NYU's Department of Radiology. 

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Radiology practice suffers ‘significant’ cyberattack

Medford Radiology was left unable to see or report on images and was still assessing the scope of the attack as of May 30.