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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Closed-loop communication tool improves value of radiologists' recommendations

Patients might sometimes undergo unnecessary and costly evaluations when specialists do not provide referrers with all of the necessary information. 

ChatGPT chatbot

ChatGPT effectively simplifies radiology reports, presents 'real opportunity' to better inform patients

Radiology reports are typically written in language well above the average American adult’s eighth grade reading level, making them a source of confusion for patients.

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Do clinicians want radiologists' management advice? Interviews shed some light on 'unwanted' recommendations

Clinicians only want the information they need to make treatment decisions, rather than advice on what actions they should take, the survey found. 

Radiologist-recommended testing for primary hyperparathyroidism improves diagnosis

Biochemical evaluation for patients with incidentally detected enlarged parathyroid glands can prompt earlier diagnosis, according to new data in the American Journal of Roentgenology

Signify Research analyst Amy Thompson discusses connecting pathology and others with enterprise imaging systems.

Interest rising to connect pathology, other departments to enterprise imaging systems

Signify Research senior analyst Amy Thompson explains the trend of connecting various departments to enterprise imaging systems. She said digital pathology may soon become the third largest user of these systems.

artificial intelligence in radiology medical imaging interpretation

Interpretive AI for medical imaging: 5 points of skepticism, idealism

Surveying the landscape of interpretive AI in radiology, two researchers note a yawning gap between great expectations set in the recent past and actual clinical implementations as of spring 2023.

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New AI tool helps radiologists reduce read times by up to 40%

Its use dropped the average time needed to examine a finding at all timepoints from 107 seconds to 65 seconds, with pulmonary nodule assessments benefiting from the greatest reductions.

Google's latest large language model is poised to give ChatGPT a run for its money in imaging

One of the main goals of Med-PaLM 2 is to “synthesize information like X-rays and mammograms to one day improve patient outcomes.” 

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.