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.

How EHR 'choice architecture' for imaging could be wasting time and money

When choosing and implementing an electronic health record system, it is important to consider how the system’s architecture might affect providers’ decision-making. 

What radiologists should consider before taking on a remote position

Radiology is one of the few medical specialties that allow for location flexibility, but what clinicians gain in the convenience of working from home, they lose in the form of fulfillment that only physical presence can offer, some argue. 

Lack of transparency in AI research limits reproducibility, renders work 'worthless'

A recent analysis found that a significant amount of studies do not provide information pertaining to their raw data, source code or model. As a result, up to 97% of these studies do not produce systems that are fit to be used in real-world clinical scenarios. 

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.

VIDEO: Radiology AI aids acute care and other departments

Sanjay Parekh, PhD, senior market analyst with Signify Research, explains how some radiology AI is being adopted outside of radiology departments to improve care.

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This is Enterprise Imaging

Sponsored by Sectra

In this interactive ebook, we bring together stories, interviews, webinars, podcasts, case studies and white papers that shine light on how enterprise imaging is making care more insightful, efficient, effective, collaborative, robust, cloud-enabled and even more affordable.

radiology reporting EHR health record CDS AUC

Follow-up care improves with reporting template for incidental findings

Use of the template, which included PCP notifications, also resulted in an increase of biochemical testing, follow-up imaging and specialist referrals in patients with incidental adrenal masses.

Example of AI automated detection and highlighting of critical lung findings on a chest X-ray for a possible lung cancer nodule and fibrosis. Example shown by AI vendor Lunit.

VIDEO: Radiology AI trends at RSNA 2022

Sanjay Parekh, PhD, senior market analyst with Signify Research, discusses trends in radiology AI seen on the expo floor and in sessions at RSNA 2022.

Dynamic lung air flow analysis just using X-ray without any contrast with new technology from 4D Medical.

PHOTO GALLERY: New technology and trends at RSNA 2022

Images from the Radiological Society of North America (RSNA) 2022 annual meeting Nov. 27- Dec. 1 in Chicago. The gallery includes new technologies and a look at sights around the world's largest radiology conference. 

Around the web

These findings present additional evidence that invasive imaging tests are not necessarily more effective when it comes to evaluating patients for chest pain.

Unlike other UEA options, GE HealthCare's Optison does not contain polyethylene glycol. The FDA approved its use for adult patients back in 1997.

The new 1.5T MRI scanner includes a wide bore and key AI features designed to boost the patient experience.