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.

Natural language processing spots reporting gaps, racial bias
Finding such discrepancies is critical to the continuity of patient care, as medical records and reports are often utilized across multiple providers and facilities.
Lung disease reporting system improves consistency—so why is it underutilized?
ILD-RADS was developed to address issues with inconsistency when reading high-resolution CT scans of the lungs in patients with a suspected interstitial lung disease.
ChatGPT both passes and fails at translating free-text into structured reports
While the latest ChatGPT models show promise in easing the reporting burden on radiologists in the future, they aren't up to the task just yet.
GPT-4 spots radiology report errors in less time, at a lower cost
The large language model can identify report errors seven times more quickly than human readers, new study reveals.
Google teams with Bayer to address radiologist burnout via AI
"Gen AI can help tackle repetitive tasks and provide insights into massive datasets, saving valuable time," Thomas Kurian, CEO of Google Cloud, said Tuesday.

Natural language processing spots reporting gaps, racial bias

Finding such discrepancies is critical to the continuity of patient care, as medical records and reports are often utilized across multiple providers and facilities.

April 24, 2024

interstitial lung disease reporting data system

Lung disease reporting system improves consistency—so why is it underutilized?

ILD-RADS was developed to address issues with inconsistency when reading high-resolution CT scans of the lungs in patients with a suspected interstitial lung disease.

April 19, 2024

chatgpt for patient questions about radiology

ChatGPT both passes and fails at translating free-text into structured reports

While the latest ChatGPT models show promise in easing the reporting burden on radiologists in the future, they aren't up to the task just yet.

April 17, 2024

ChatGPT large language models radiology health care

GPT-4 spots radiology report errors in less time, at a lower cost

The large language model can identify report errors seven times more quickly than human readers, new study reveals.

April 16, 2024

google cloud mayo clinic artificial intelligence

Google teams with Bayer to address radiologist burnout via AI

"Gen AI can help tackle repetitive tasks and provide insights into massive datasets, saving valuable time," Thomas Kurian, CEO of Google Cloud, said Tuesday.

April 9, 2024

artificial intelligence AI heart cardiology

FDA assisting with new imaging 'marketplace' designed to improve AI

The Advanced Research Projects Agency for Health has launched a survey for stakeholders to provide input on the project’s development.

April 1, 2024

doctor examines patient data on their tablet

Hospital system data sharing initiative leads to 80% of patients accessing their imaging records

The change was made to comply with the information blocking rule in the 21st Century Cures Act.

March 27, 2024

Aycan introduces a 'mini' PACS for independent practices

The enterprise imaging system is equipped with basic features for storage and sharing, with the option to upgrade.

March 26, 2024

Around the web

Cardiovascular Business

AI improves CT assessments, boosts care for real-world heart patients

Automated AI-generated measurements combined with annotated CT images can improve treatment planning and help referring physicians and patients better understand their disease, explained Sarah Jane Rinehart, MD, director of cardiac imaging with Charleston Area Medical Center.

Cardiovascular Business

AI predicts cardiovascular risk during CT scans—no invasive tests or contrast required

Two advanced algorithms—one for CAC scores and another for segmenting cardiac chamber volumes—outperformed radiologists when assessing low-dose chest CT scans.

Radiology Business

Google teams with Bayer to address radiologist burnout via AI

"Gen AI can help tackle repetitive tasks and provide insights into massive datasets, saving valuable time," Thomas Kurian, CEO of Google Cloud, said Tuesday.