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.

Experts highlight 'significant concerns' with fluctuating accuracy of popular large language models
As these models continue to advance, it is important to understand how their performance holds up over time.
Are providers too trusting of AI's advice?
“When we rely too much on whatever the computer tells us, that’s a problem."
Pairing an alert system with CAD software halves time-to-treatment for pneumothorax
By expediting communication between radiologists and referring providers when suspicious findings are identified, the system has great potential to improve clinical outcomes in real-world scenarios, authors of a new study in JACR suggest.
How Konica Minolta’s next generation, cloud-based enterprise imaging is powering one practice’s growth
Finding the right enterprise imaging system is critical for radiology practices and hospitals that need to expand and scale their image management and reading capacity. For Houston Northwest Radiology Association, a large increase in the volume of images they manage for clients means it’s time to commit to a next-gen EI system.
Next-generation VR headsets could improve ergonomics, radiologist reading experience
Radiologists utilized the Apple Vision Pro to assess CT images of possible diverticulitis, comparing the results with a standard computer monitor.

AI program ChatGPT now has a published article in Radiology—is it any good?

The human author reviewing the article wrote about the benefits and inherent risks of utilizing AI in a medical publication setting, concluding that, overall, it could be “a powerful tool” used in the future of medical publishing—when used with caution.

February 2, 2023

VIDEO: Who gets sued when radiology AI fails?

Brent Savoie, MD, JD, vice chair for radiology informatics, section chief of cardiovascular imaging, Vanderbilt University, explains who will get sued when there is a misdiagnosis due to artificial intelligence (AI).

February 2, 2023

Example of a cardiovascular information system (CVIS) cath lab reporting module with a coronary tree model that will auto complete sections of the report based on how the cardiologist modifies the model. Image from the ScImage booth at ACC 2022. Photo by Dave Fornell

VIDEO: 4 key trends in cardiovascular information systems, according to Signify Reseach

Signify Research shares the latest big trends in cardiovascular IT systems, including the role of EMR cardiology modules vs. third-party CVIS, structured reporting, integration into enterprise imaging and inclusion of ambulatory surgical centers.

February 1, 2023

The American Hospital Association (AMA) is warning healthcare systems the Russians may attempt cyber attacks amid rising tensions of the war in Ukraine and the international community's response. #Ukraine #warinukraine #ukrainewar

VIDEO: How to prepare hospitals for ransomware attacks

John Gaede, director of information systems, Sky Lakes Medical Center, Oregon, discusses how hospitals should prepare for possible cyberattacks.

January 24, 2023

Sky Lakes Medical Center, Oregon, discusses how the hospitals IT team overcame a ransomware attack in 2020 during the height of COVID that took down their entire network and how radiology recovered within two weeks..

VIDEO: How radiology was restored after a ransomware attack at Sky Lakes Medical Center in Oregon

John Gaede, director of information systems, Sky Lakes Medical Center, Oregon, discusses how the hospital's IT team overcame a ransomware attack in 2020 and restored radiology in about two weeks.

January 23, 2023

Example of artificial intelligence generated measurements to quantify the size of a lung cancer nodule during a followup CT scan to see if the lesion is regressing with treatment. This type of automation can aid radiologists by doing the tedious, time consuming work. Photo by Dave Fornell

8 trends in radiology technology to watch in 2023

Here is a list of some key trends in radiology technology from our editors based on our coverage of the radiology market.

January 18, 2023

How EHR 'choice architecture' for imaging could be wasting time and money

When choosing and implementing an electronic health record system, it is important to consider how the system’s architecture might affect providers’ decision-making.

January 10, 2023

Lack of transparency in AI research limits reproducibility, renders work 'worthless'

A recent analysis found that a significant amount of studies do not provide information pertaining to their raw data, source code or model. As a result, up to 97% of these studies do not produce systems that are fit to be used in real-world clinical scenarios.

December 19, 2022

Imaging Informatics

Experts highlight 'significant concerns' with fluctuating accuracy of popular large language models

Are providers too trusting of AI's advice?

Pairing an alert system with CAD software halves time-to-treatment for pneumothorax

How Konica Minolta’s next generation, cloud-based enterprise imaging is powering one practice’s growth

Next-generation VR headsets could improve ergonomics, radiologist reading experience