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.

AI can help radiology standardize image exam data labeling
To fully leverage today's radiology IT systems, standardization is a necessity. Steve Rankin, chief strategy officer for Enlitic, explains how artificial intelligence can help.
ACR Assess-AI national data registry tracks performance of clinical algorithms
Christoph Wald, MD, vice chair of the ACR Board of Chancellors, explains how the new Assess-AI National Radiology Data Registry is designed to help monitor accuracy and other metrics for radiology artificial intelligence.
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.
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.

Video of Steve Rankin, chief strategy officer for Enlitic, explaining how AI can help standardize labeling of medical images.

AI can help radiology standardize image exam data labeling

To fully leverage today's radiology IT systems, standardization is a necessity. Steve Rankin, chief strategy officer for Enlitic, explains how artificial intelligence can help.

Christoph Wald, MD, vice chair of the ACR Board, explains the new ACR Assess-AI national data registry tracks performance of clinical AI algorithms.

ACR Assess-AI national data registry tracks performance of clinical algorithms

Christoph Wald, MD, vice chair of the ACR Board of Chancellors, explains how the new Assess-AI National Radiology Data Registry is designed to help monitor accuracy and other metrics for radiology artificial intelligence.

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.

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.

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.

Around the web

Radiology Business

AI can help radiology standardize image exam data labeling

To fully leverage today's radiology IT systems, standardization is a necessity. Steve Rankin, chief strategy officer for Enlitic, explains how artificial intelligence can help.

Radiology Business

The biggest obstacles facing radiology business managers in 2025

RBMA President Peter Moffatt discusses declining reimbursement rates, recruiting challenges and the role of artificial intelligence in transforming the industry.

Cardiovascular Business

New cardiac prevention paradigm explored in TRANSFORM trial using AI and CCTA

Deepak Bhatt, MD, director of the Mount Sinai Fuster Heart Hospital and principal investigator of the TRANSFORM trial, explains an emerging technique for cardiac screening: combining coronary CT angiography with artificial intelligence for plaque analysis to create an approach similar to mammography.