Health IT

Healthcare information (HIT) systems are designed to connect all the elements together for patient data, reports, medical imaging, billing, electronic medical record (EMR), hospital information system (HIS), PACS, cardiology information systems (CVIS)enterprise image systemsartificial intelligence (AI) applications, analytics, patient monitors, remote monitoring systems, inventory management, the hospital internet of things (IOT), cloud or onsite archive/storage, and cybersecurity.

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Stronger report wording, direct calls to referrers help boost outpatients’ follow-up imaging odds

Only 65% of patients actually receive recommended additional imaging in this setting, with a median turnaround time of 50 days, according to a new study.

March 28, 2023
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How one radiology department increased use of its alert system for critical imaging findings

Almost 10% of radiology reports contain such an alert and communication of them is crucial to keeping patients safe and avoiding malpractice lawsuits. 

March 24, 2023
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Nuance announces first fully AI-automated clinical documentation tool in healthcare

DAX Express utilizes the advanced reasoning and natural-language capabilities of OpenAI’s GPT-4 to generate draft reports "in seconds," the company said Monday. 

March 21, 2023
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Closing the loop and settling rare clinical disagreements between radiologists at the same institution

Oftentimes, these deviations can occur informally, but experts believe careful documentation is needed to resolve them in a timely fashion.

February 24, 2023
Attendees at RSNA 2022 in the Sectra booth learning about how enterprise imaging can help with workflows and connect numerous departments together for imaging. Photo by Dave Fornell

Rankings of radiology IT solutions by end-users in the 2023 Best in KLAS program

End-users of various radiology IT systems offer their assessment of the software in the annual KLAS Research 2023 Best in KLAS report.

February 22, 2023
The integration of artificial intelligence (AI) into radiology PACS and enterprise imaging systems has become a big topic of discussion with IT vendors over the past couple years. This has become a bigger question from hospitals and radiology groups as there are now about 400 radiology related AI algorithms that have U.S. Food and Drug Administration (FDA) clearance. Amy Thompson, a senior analyst at Signify Research, is monitoring radiology AI trends. Photo by Dave Fornell

Trends in the adoption and integration of AI into radiology workflows

Amy Thompson, a senior analyst at Signify Research, explains why AI adoption has been slow in radiology, common barriers and trends in the market.

February 17, 2023
Amy Thompson, a senior analyst at Signify Research, explains what she is seeing in the market for radiology PACS. She said the biggest overall strategic technology trends are wider adoption of enterprise imaging systems expanding beyond radiology to include other departments, migration to cloud data storage, and adoption of artificial intelligence. Components of these integrate into the 5 trends in radiology IT systems outlined below.

5 key trends in PACS and enterprise imaging from Signify Research

Signify Research explains several key trends in the evolution of radiology PACS and enterprise imaging systems, including adoption of artificial intelligence, streamlining workflow, implementing structured reporting and more.

February 15, 2023

7 steps to ‘new era of personalized medicine’ by way of radiomic analysis

Quantifiable features of medical images such as pixel intensity, arrangement, color and texture—in a word, radiomics—can help radiologists improve diagnostic accuracy.

February 15, 2023

Around the web

"This was an unneeded burden, which was solely adding to the administrative hassles of medicine," said American Society of Nuclear Cardiology President Larry Phillips.

SCAI and four other major healthcare organizations signed a joint letter in support of intravascular ultrasound. 

The newly approved AI models are designed to improve the detection of pulmonary embolisms and strokes in patients who undergo CT scans.

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