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 systems, artificial intelligence (AI) applications, analytics, patient monitors, remote monitoring systems, inventory management, the hospital internet of things (IOT), cloud or onsite archive/storage, and cybersecurity.

Interlock claims responsibility for Kettering cyberattack, stolen data listed for sale
In a post on the dark web, well-known hacker group Interlock is offering a 941 GB trove for sale, said to contain patient financial records, driver's licenses, clinical summaries and more from Ohio-based Kettering Health.
AI detects twice as many incidental lesions as radiologists
Prior research has suggested that these incidental lesions turn out to be cancerous in up to 70% of cases, making their timely detection critical.
AMA brainstorms on key topics impacting healthcare
"With significantly strengthened penalties, standardized reporting requirements and unprecedented enforcement commitments, the regulatory landscape has dramatically shifted," the AMA wrote.
Research brief: Cybersecurity threats inherent to AI-aided remote patient monitoring
Leveraging the upsides of RPM with AI demands human attention to numerous challenges. Primary among these are privacy and cybersecurity risks, researchers report.
Walmart launches AI tool to steer Medicare Advantage members toward ‘healthy’ foods
Walmart is highlighting food and products eligible for purchase using Medicare Advantage supplemental funds through its app, while also using AI to algorithmically help enrollees build diet-appropriate shopping lists.

Which risk stratification system is best for classifying thyroid nodules?

A new analysis compared the results of 39 published studies and nearly 50,000 patient cases to rank the performances of six different thyroid nodule stratification systems.

Appearances can be deceiving on chest CT performed for COVID in cancer patients

In a study of more than 250 COVID-positive patients with a history of any cancer, fewer than half the cohort had chest CT findings deemed typical for COVID-related pneumonia based on an RSNA classification guide.

Amyloid plaque patterns on PET imaging predict Alzheimer's progression in asymptomatic patients

Experts involved in the new research suggest that identifying these spatiotemporal variations could play an important role in clinical research and precision medicine.

6 tips for integrating NPPs into imaging practice

The role of non-physician practitioners will inevitably continue to grow in healthcare, but how will their presence impact radiology?

An example of artificial intelligence (AI) automated detection of a intracranial hemorrhage (ICH) in. a CT scan used to send alerts to the stroke acute care team before a radiologist even sees the exam. Example shown by TeraRecon at RSNA 2022.

FDA has now cleared more than 500 healthcare AI algorithms

More than 500 clinical AI algorithms have now been cleared by the FDA, with the majority just in the past couple years.

An example of an FDA cleared radiology AI algorithm to automatically take a cardiac CT scan and identify, contour and quantify soft plaque in the coronary arteries. The Cleerly software then generates an automated report with images, measurements and a risk assessment for the patient. This type of quantification is too time consuming and complex for human readers to bother with, but AI assisted reports like this may become a new normal over the next decade. Example from Cleerly Imaging at SCCT 2022.

Legal considerations for artificial intelligence in radiology and cardiology

There are now more than 520 FDA-cleared AI algorithms and the majority are for radiology and cardiology, raising the question of who is liable if the AI gets something wrong.

Referring providers want virtual consultations with radiologists

Virtual consultations help diminish the effects of reading room “chaos” owed to frequent interruptions, which can occur up to 27 times per hour for radiologists.

Interoperability among hospitals is improving

Overall, hospital engagement in three domains of interoperability––receiving data, finding data and integrating data––have significantly increased since 2017.

Health IT

Interlock claims responsibility for Kettering cyberattack, stolen data listed for sale

AI detects twice as many incidental lesions as radiologists

AMA brainstorms on key topics impacting healthcare

Research brief: Cybersecurity threats inherent to AI-aided remote patient monitoring

Walmart launches AI tool to steer Medicare Advantage members toward ‘healthy’ foods