Informatics

The goal of health informatics systems is to enable smooth transfer of data and cybersecurity across the healthcare enterprise. This includes patient information, images, subspecialty reporting systems, lab results, scheduling, revenue management, hospital inventory, and many other health IT systems. These systems include the electronic medical record (EMR) admission discharge and transfer (ADT) system, hospital information system (HIS), radiology picture archiving and communication systems (PACS), cardiovascular information systems (CVIS), archive solutions including cloud storage and vendor neutral archives (VNA), and other medical informatics systems.

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Video interview with ACR CEO Dana Smetherman, MD, who explains how the American College of Radiology can help radiology practices evaluate and vet AI.

ACR offers resources to achieve radiology AI best practices

Dana Smetherman, MD, CEO of the American College of Radiology, explains resources available through its Data Science Institute to evaluate and validate the quality of imaging algorithms.

Example of AI automated detection and highlighting of critical lung findings on a chest X-ray for a possible lung cancer nodule and fibrosis. Example shown by AI vendor Lunit.

PHOTO GALLERY: Examples of FDA-cleared AI in radiology

This is a photo gallery of artificial intelligence products cleared for clinical use in medical imaging by the U.S. Food and Drug Administration. Radiology by far is the leader of all clinical AI FDA approvals.

ACR CEO outlines top trends in breast imaging

Dana Smetherman, MD, is a diagnostic radiologist who specializes in breast imaging. She spoke to Health Imaging about some key issues that have her attention in 2024 and beyond. 

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Cardiologists partner with imaging AI specialists to improve care for high-risk heart patients

The new collaboration is designed to ensure patients who may face an increased risk of heart disease receive the follow-up care they need.

Sectra's packed booth at RSNA 2023. Sectra again won the Best in KLAS 2024 awards as the best vendor to work with for for both large and small sized radiology PACS.

Best in KLAS 2024 rankings released, showcasing medical imaging IT systems

End-users of various radiology IT systems offer their assessment of the software they use in the annual KLAS Research 2024 Best in KLAS report.

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RSNA-sponsored imaging informatics course returns for 2024

The National Imaging Informatics Course is designed for fourth-year radiology residents, but is also relevant to any mid- or senior-level professional working with image data.

Monique Rasband, KLAS vice president of strategy and research for imaging, cardiology and oncology, shares the trends she is seeing with the use of cloud storage in medical imaging. 

Cloud image storage for radiology is a growing trend in healthcare

Monique Rasband, KLAS vice president of strategy and research for imaging, shares the trends she is seeing in the specialty.

Video interview with Jom Kimerle from Pure Storage who shares trends in healthcare cybersecurity. #HIMSS

Trends and tips in healthcare cybersecurity 

Cybersecurity in the healthcare sector has been a growing concern, and medical imaging is one of the largest users of off-site cloud data storage.

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Around the web

Cardiovascular Business
Global shortage of nuclear imaging isotopes may be over

The nuclear imaging isotope shortage of molybdenum-99 may be over now that the sidelined reactor is restarting. ASNC's president says PET and new SPECT technologies helped cardiac imaging labs better weather the storm.

Cardiovascular Business
‘A huge win’: CMS significantly increases Medicare payments for cardiac CT

CMS has more than doubled the CCTA payment rate from $175 to $357.13. The move, expected to have a significant impact on the utilization of cardiac CT, received immediate praise from imaging specialists.

Cardiovascular Business
FDA clears AI tool that flags signs of heart disease in chest CT scans

The newly cleared offering, AutoChamber, was designed with opportunistic screening in mind. It can evaluate many different kinds of CT images, including those originally gathered to screen patients for lung cancer. 

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