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.

June 22, 2023

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.

June 22, 2023
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. 

June 16, 2023
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.

June 13, 2023
artificial intelligence robot evaluates healthcare data. Novo Nordisk announced a new collaboration with Valo Health, a healthcare technology company focused on using artificial intelligence (AI) technology to identify new drug treatments for cardiovascular disease (CVD).

‘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. 

June 8, 2023

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. 

June 1, 2023
Signify Research analyst Amy Thompson discusses connecting pathology and others with enterprise imaging systems.

Interest rising to connect pathology, other departments to enterprise imaging systems

Signify Research senior analyst Amy Thompson explains the trend of connecting various departments to enterprise imaging systems. She said digital pathology may soon become the third largest user of these systems.

May 31, 2023
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.

May 17, 2023

Around the web

The newly approved AI models are designed to improve the detection of pulmonary embolisms and strokes in patients who undergo CT scans.

Using CT to perform coronary artery calcium scoring on symptomatic chest pain patients can deliver significant value, according to a new data published in Radiology

Peninsula Imaging told Mary Raver in 2014 that a cancerous growth was benign. She now has 18 months to live.

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