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 much structure do clinicians want in their musculoskeletal MRI reports?

Orthopedic providers judged three different knee MRI report templates based on readability, usefulness and quality. The results were published in Academic Radiology.

February 10, 2020
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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

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
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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
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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