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.

Examples of a radiology report embedded video and text explaining the video for the patient in the report. This is from an AJR study that found embedding short videos from the radiologist explaining the images greatly enhanced patient engagement and satisfaction.

Video radiology reports add value, improve patient care

A new study found embedding videos in radiology reports aimed at patients had a big impact and may improve radiologist communication with patients. 

April 21, 2022
Options for choosing transgender gender sex or gender choice are now offered in most PACS and RIS systems.

Radiology departments are adapting to offer inclusive environments for transgender individuals

Most radiological hardware and software systems now offer gender options beyond female/male classification, a recent analysis shows. 

April 19, 2022
Chest X-ray. Using an explainable artificial intelligence (AI) model, researchers were recently able to accomplish highly accurate labeling on large datasets of publicly available chest radiograph X-rays.. 

Explainable AI model accurately auto-labels chest X-rays from open access datasets

A model that can achieve accuracy in line with that of radiologists when labeling open-access datasets could be a key factor to overcoming limitations of artificial intelligence implementation, researchers explained in Nature Communications.

April 18, 2022
Computer

Significant disparities exist in utilization of self-scheduling radiology exams, research shows

Researchers revealed that less than 1% of more than 46,000 patients took advantage of online self-scheduling tools.

April 15, 2022
Researcher

Lack of diverse datasets in AI research puts patients at risk, experts suggest

Homogenous datasets can create unintended research bias that hinders the clinical efficacy of AI applications, experts recently explained in PLOS Digital Health.

April 11, 2022

What impact do clinical histories have on radiologists' diagnostic performance?

The availability of clinical histories is beneficial to radiologists but has previously been shown to create bias and increase false positives in some cases.

March 22, 2022
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This Is Enterprise Imaging

Sponsored by Sectra

First there was PACS: picture archiving and communications systems. Over the last decade, as managing medical imaging has expanded far beyond radiology, enterprise imaging was born. But what is enterprise imaging in its best form?

March 7, 2022

INFINITT earns high marks in 2022 Best in KLAS Report

Phillipsburg, NJ --KLAS Research, a healthcare IT market research firm, released its 2022 Best in KLAS report earlier this month, ranking more than 1,000 health informatics solutions installed across the US.

February 25, 2022

Around the web

Automated AI-generated measurements combined with annotated CT images can improve treatment planning and help referring physicians and patients better understand their disease, explained Sarah Jane Rinehart, MD, director of cardiac imaging with Charleston Area Medical Center.

Two advanced algorithms—one for CAC scores and another for segmenting cardiac chamber volumes—outperformed radiologists when assessing low-dose chest CT scans. 

"Gen AI can help tackle repetitive tasks and provide insights into massive datasets, saving valuable time," Thomas Kurian, CEO of Google Cloud, said Tuesday. 

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