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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Radiology practice's communication failure bears tragic consequences

After looking into the case, officials discovered that a coding error prevented the radiology report, which contained critical findings, from ever being sent to the referring provider.

Chat GPT

Experts highlight 'significant concerns' with fluctuating accuracy of popular large language models

As these models continue to advance, it is important to understand how their performance holds up over time.

Incidental interstitial lung abnormalities largely underreported

Less than half of incidental interstitial lung abnormalities on CT exams are reported

This is despite experts cautioning that these findings should be "systematically and fully assessed" due to their progressive nature.

artificial intelligence robot evaluates healthcare data

Are providers too trusting of AI's advice?

“When we rely too much on whatever the computer tells us, that’s a problem."

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Pairing an alert system with CAD software halves time-to-treatment for pneumothorax

By expediting communication between radiologists and referring providers when suspicious findings are identified, the system has great potential to improve clinical outcomes in real-world scenarios, authors of a new study in JACR suggest.

lung cancer screening

Patients without PCPs struggle to access lung cancer screening, despite eligibility

It is estimated that up to one-third of the U.S. population does not have a primary care provider.

Rads' lumbar MRI reads more accurate when they have access to patients' self-reported symptoms

Rads are more accurate when they have access to patients' self-reported symptoms

This is especially true for lumbar MRIs, as these exams often show abnormalities without correlating symptoms, making it difficult to distinguish between incidental findings and the actual source of patients’ issues.

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AI-based software improves follow-up imaging adherence by 74%

The increased follow-up of recommended imaging exams combined with the efficiency of its use also generated an additional $9,000 in revenue per month at one organization.

Around the web

CCTA is being utilized more and more for the diagnosis and management of suspected coronary artery disease. An international group of specialists shared their perspective on this ongoing trend.

The new technology shows early potential to make a significant impact on imaging workflows and patient care. 

Richard Heller III, MD, RSNA board member and senior VP of policy at Radiology Partners, offers an overview of policies in Congress that are directly impacting imaging.