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.

Clinicians follow musculoskeletal MRI reports less often when further imaging is recommended

More can be done to change this trend, argued authors of a recent study published in the American Journal of Roentgenology.

January 3, 2020

Referring clinicians follow second opinion radiology reports about half the time

Second opinions were taken under advisement in a majority of instances, but it remains unclear why some fell by the wayside.

December 16, 2019

RSNA 2019: Patient-centered care means radiology must make reports more accessible

Many institutions are making radiology reports available via online portals, but can patients actually understand the information in them?

December 3, 2019

Cardiology’s Challenge for the 2020s: Turning the Trend on Rising Mortality

The latest numbers on cardiovascular deaths put the focus on innovative ways to point the trend line down again.

November 1, 2019

Do referring clinicians actually view MSK radiology reports?

“Although one would think that the radiology report plays a critical role in patient care, few studies have determined whether radiology reports are actually viewed by referrers," Sadaf Sahraian, with Johns Hopkins Medical Institution said.

October 30, 2019

Machine learning detects radiology reports requiring follow-up imaging

A model utilizing natural language processing and machine learning can accurately detect radiology reports that demand follow-up imaging, reported researchers of a new study published in the Journal of Digital Imaging.

September 4, 2019

Brain tumor reporting system improves quality of glioma reports

Radiology reports derived from structured brain tumor MRI reporting and data systems (BT-RADS) showed measurable improvements compared to free text reports, according to a new study published in Academic Radiology.

August 28, 2019

Algorithm may automize follow-up imaging adherence using radiology reports

A machine learning algorithm can determine appropriate follow-up imaging based off of radiology reports, according to a new study published in the Journal of Digital Imaging. The technology may eventually be developed to automatically tell if a patient completed their follow-up exam.

August 27, 2019

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