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.

Around the web

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

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

Many new imaging solutions were on display at the world's largest health informatics conference, held at McCormick Place in Chicago.

Esteban Rubens, Oracle cloud field chief technology officer for healthcare, explains cloud’s role in enterprise imaging and healthcare IT and the movement away from on-premise data storage.

More and more hospitals are using the cloud for medical image storage

Cloud data storage is growing in medical imaging as a way of simplifying workflows and providing relief to health IT teams, Esteban Rubens explained in an interview. 

September 22, 2023
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FDA clears AI-powered brain MRI evaluation software

The newly approved system was designed to assist clinicians with the detection of Alzheimer's disease and other forms of dementia.

September 19, 2023
radiology structured reporting data mining

Data mining of structured radiology reports yields advantageous insights

Datapoints contained in structured radiology reports can be readily mined to guide decisions around long-term clinical, business and population-health aims. 

September 1, 2023
Artificial intelligence (AI) has been one of the biggest stories in healthcare for years, but many clinicians still remain unsure about how, exactly, they should be using AI to help their patients. A new analysis in European Heart Journal explored that exact issue, providing cardiology professionals with a step-by-step breakdown of how to get the most out of this potentially game-changing technology.

New scoring systems help grade the accuracy of AI-generated radiology reports

Health systems need to trust that artificial intelligence-based reports are accurate and complete. 

August 4, 2023
Cloud imaging

Big Tech player dives deep into medical imaging with ‘purpose-built’ service

The world’s most popular supplier of cloud services has become a dedicated radiology vendor.

July 31, 2023
#CTA #acuteischemicstroke #AIS #radiomics

Evidence supporting use of radiomics is 'insufficient' and 'weak,' according to new meta-analysis

Although the predictive power of radiomics has been touted as a tool that could improve patient outcomes, the method has a long way to go before it can be reliably introduced into real-world clinical environments.

July 24, 2023
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
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
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