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.

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Only 21% of case reports featuring images name radiologist as author

Only one-fifth of case reports containing medical images mention a radiologist as the co-author. Those reports were also lower in quality, according to research published online Sept. 20 in the Journal of the American College of Radiology.

September 24, 2018

Trainee radiologist reports account for 52% of all errors

More than one-third of the errors in radiologist reports are made after-hours by trainees and then confirmed by a consultant radiologist, even though after-hours reports accounted for only 18 percent of all reports, according to research published Sept. 13 in Clinical Radiology.  

September 20, 2018

CDC analysis finds imaging reports important in physician data exchange

A new analysis from the Centers for Disease Control and Prevention (CDC) found imaging reports among the top three pieces of patient data physicians electronically received and integrated in 2015.

August 17, 2018

Radiologist draft reports may significantly reduce report production time

When a draft report is available to radiologists, report production time may be significantly decreased and workflow efficiency may improve, according to research published in Academic Radiology.

June 20, 2018
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Clinicians value radiology reports, radiologist's interpretation over images

Clinicians view radiology reports more frequently than the actual images, suggesting these interpretations from radiologists are more valuable, according to a study published in the Journal of the American College of Radiology.

May 9, 2018
What should radiology be expending, in manpower as well as money, to help make medical imaging accessible to and from every clinical department? And what’s in enterprise imaging for radiology, anyway?

The elusive economics of enterprise imaging

What should radiology be expending, in manpower as well as money, to help make medical imaging accessible to and from every clinical department? And what’s in enterprise imaging for radiology, anyway?

February 9, 2018

AI interprets radiology reports at 91% accuracy

According to a recent article from Clinical Innovation and Technology, researchers from New York's Icahn School of Medicine at Mount Sinai have developed machine learning technology capable of interpreting radiologist reports with an accuracy rate of 91 percent. 

February 5, 2018

TeraRecon Premiers HoloPack Portal at HIMSS17

Augmented reality capability compliments TeraRecon 3D Print Pack portal

February 21, 2017

Around the web

Automated AI-generated measurements combined with annotated CT images can improve treatment planning and help referring physicians and patients better understand their disease, explained Sarah Jane Rinehart, MD, director of cardiac imaging with Charleston Area Medical Center.

Two advanced algorithms—one for CAC scores and another for segmenting cardiac chamber volumes—outperformed radiologists when assessing low-dose chest CT scans. 

"Gen AI can help tackle repetitive tasks and provide insights into massive datasets, saving valuable time," Thomas Kurian, CEO of Google Cloud, said Tuesday. 

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