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.

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.
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.
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.

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

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

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.

VIDEO: Radiology AI trends at RSNA 2022

Sanjay Parekh, PhD, senior market analyst with Signify Research, discusses trends in radiology AI seen on the expo floor and in sessions at RSNA 2022.

December 12, 2022

PocketHealth launches network-free image sharing and storage platform

PocketHealth has launched a platform that lets patients and providers securely request, share and store medical images without the use of CD-ROMS or networks.

November 14, 2022

American College of Cardiology shares expert analysis on treating ASCVD patients with multiple chronic conditions

The new guidance document was designed to help cardiologists and other clinicians deliver the best care possible when treating ASCVD patients who present with additional conditions that need to be considered.

October 26, 2022

VIDEO: KLAS shares trends in enterprise imaging and AI

Monique Rasband, vice president of imaging, cardiology and oncology, KLAS Research, explains some of technology trends KLAS researchers have found in enterprise imaging system and radiology artificial intelligence (AI).

October 13, 2022

Charles E. Kahn, Jr., MD, MS, Editor of the the journal Radiology: Artificial Intelligence, and professor and vice chair of radiology at the University of Pennsylvania Perelman School of Medicine. He has been heavily involved in radiology informatics and has seen up close the evolution of radiology toward deeper integration with AI. #RSNA

VIDEO: Use cases and implementation strategies for radiology artificial intelligence

Charles Kahn, Jr., MD, editor of the the journal Radiology: Artificial Intelligence, and professor and vice chair of radiology at the University of Pennsylvania Perelman School of Medicine, explains the work involved integrating AI in radiology systems and the role of AI in augmenting patient care.

October 12, 2022

VIDEO: Assessing radiology AI and understanding programatic bias

Charles E. Kahn, Jr., MD, MS, editor of the the RSNA journal Radiology: Artificial Intelligence, and professor and vice chair of radiology at the University of Pennsylvania Perelman School of Medicine, discusses the need to validate AI algorithms with your own patient population data.

October 11, 2022

Informatics

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

ACR offers resources to achieve radiology AI best practices

PHOTO GALLERY: Examples of FDA-cleared AI in radiology

Alabama security breach exposes personal information of cardiologists, heart patients

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