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.

Muzammil A. Shafi, MD

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.

Alabama security breach exposes personal information of cardiologists, heart patients

Both patients and physicians were impacted by the incident, with outside forces gaining access to everything from names and social security numbers to banking information. 

An example of HeartFlow's new RoadMap Stenosis software that uses artificial intelligence (AI) to show areas of interest for possible stenting based on a patient's CT scan and FFR-CT. This software is still undergoing beta testing at several hospitals and will likely be rolled out commercially later in 2023.

Cardiology still a leader in healthcare AI, trailing only radiology in FDA-cleared algorithms

At its current rate, the number of clinical AI models cleared by the FDA will break 1,000 before the end of 2024. Cardiology continues to play a significant role in this ongoing trend. 

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. 

cyberattack cybersecurity IT

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. 

The rapid rise of artificial intelligence (AI) has helped cardiologists, radiologists, nurses and other healthcare providers embrace precision medicine in a way that ensures more heart patients are receiving personalized care.

AI helps cardiologists deliver personalized healthcare—but there is still plenty of work to do

A new scientific statement from the American Heart Association explores the many ways AI and machine learning are being used to improve care for heart patients.