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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FDA adds more than 120 new AI-enabled medical devices focused on radiology to list of approvals

The FDA has cleared over 150 artificial intelligence- or machine learning-enabled medical devices since the beginning of August.

Key trends in enterprise imaging

Radiology is going though a period of disruption with a growing radiologist shortage, decreasing reimbursements and increasing numbers of exams, making workflow efficiency a critical concern.

Cloud-based platforms could expand teleradiology access to tens of thousands of patients in need

Dedicated teleradiology services could expand quality healthcare in regions where access and staffing shortages hinder patient care the most. 

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Siemens Healthineers inks data sharing deal with Blue Earth to bolster development of prostate cancer AI

Blue Earth will be sharing anonymized clinical data from its Phase 3 Lighthouse trial involving the use of PET imaging agent Posluma.

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Point-based risk prediction model reduces prostate biopsies by up to 20%

The model incorporates specific data from MRI exams with patient risk factors to predict whether a person is likely to develop clinically significant prostate cancer.

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Contextualized vs. structured reports—which templates are better?

Contextualized reports differ from structured reports in that they focus on specific clinical indications, rather than a basic standardized checklist of anatomical regions that does not always address a particular concern.

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New publicly available deep learning model for CT organ segmentation in children shows promise

The model was developed and validated specifically for liver, spleen and pancreas segmentation, and outperformed a publicly available segmentation model already in use.

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New research offers reminder of why ChatGPT should not be used for second opinions

Although these tools have proven themselves valuable in numerous settings, they must be used with caution, especially by patients and nonradiologist providers who may be seeking clarification on imaging reports. 

Around the web

The cardiac technologies clinicians use for CVD evaluations have changed significantly in recent years, according to a new analysis of CMS data. While some modalities are on the rise, others are being utilized much less than ever before.

The new guidelines were designed to ensure sonographers and other members of the heart team have the information they need to screen patients when appropriate and identify early warnings signs of PH. 

Harvard’s David A. Rosman, MD, MBA, explains how moving imaging outside of hospitals could save billions of dollars for U.S. healthcare.