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.

Konica Minolta and ImagineSoftware partner to expand revenue cycle management offerings
Konica Minolta partnered with ImagineSoftware to integrate its AI-driven revenue cycle management platform into the Exa PACS-RIS solution.
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.
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.
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.

Konica Minolta Healthcare Americas Inc. and ImagineSoftware announced an integration agreement to integrate the ImagineOne artificial intelligence (AI)-driven platform for automated radiology billing with Konica Minolta’s Exa PACS-RIS solution.

Konica Minolta and ImagineSoftware partner to expand revenue cycle management offerings

Konica Minolta partnered with ImagineSoftware to integrate its AI-driven revenue cycle management platform into the Exa PACS-RIS solution.

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.

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

Sponsored by Konica Minolta

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.

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.

Disruptions to small practices’ operations remain ‘severe and ongoing’ months after Change cyberattack

Owner UnitedHealth had claimed services would be largely restored by late March, but doc groups such as the MGMA claim things are still a mess.

Around the web

Health Imaging

MRI projectile incident likely to result in a 'seven-figure sum' repair bill for hospital

News of an incident is a stark reminder that healthcare workers and patients aren’t the only ones who need to be aware around MRI suites.

Health Imaging

American College of Radiology announces significant expansion of Lung Cancer Screening Registry

The ACR hopes these changes, including the addition of diagnostic performance feedback, will help reduce the number of patients with incidental nodules lost to follow-up each year.

Health Imaging

AI reduces CT lung cancer screening workload by nearly 80%

And it can do so with almost 100% accuracy as a first reader, according to a new large-scale analysis.