Informatics

The goal of health informatics systems is to enable smooth transfer of data and cybersecurity across the healthcare enterprise. This includes patient information, images, subspecialty reporting systems, lab results, scheduling, revenue management, hospital inventory, and many other health IT systems. These systems include the electronic medical record (EMR) admission discharge and transfer (ADT) system, hospital information system (HIS), radiology picture archiving and communication systems (PACS), cardiovascular information systems (CVIS), archive solutions including cloud storage and vendor neutral archives (VNA), and other medical informatics systems.

Thumbnail

Machine learning approach requires less data to identify follow-up guidance in radiology reports

Follow-up recommendations in radiology reports commonly contain little standardization. Machine learning and deep learning methods are each effective for deciphering reports and may provide the foundation for real-time recommendation extraction, according to a recent study in the Journal of the American College of Radiology.

Thumbnail

Reports: GE filing paperwork for IPO of its healthcare unit

General Electric (GE) has filed the paperwork for an initial public offering (IPO) for its healthcare unit, GE Healthcare, according to numerous sources familiar with the ongoing situation. The offering is expected to take place by the middle of 2019.

Thumbnail

Amazon releases AI language processing service for patient records, radiology reports

Tech company Amazon has launched a new medical language processing service that, by using artificial intelligence (AI), can extract data from patient records and reports to help healthcare professionals make better treatment decisions, address data privacy and decrease overall costs, according to a report published Nov. 28 by TechCrunch.

Thumbnail

AI reveals more variation in free-text than standardized radiology reports

A natural language processing and machine learning-based algorithm may successfully evaluate inter-radiologist report variation and compare differences between radiologists using highly-structured versus free-text reporting, according to research published Oct. 9 in Current Problems in Diagnostic Radiology.

Thumbnail

Auto-filling ultrasound software significantly decreases errors in radiology reports

Radiology report quality was improved with a software solution that auto-filled ultrasound measurements, and helped radiologists better focus on their imaging interpretations, according to research published Oct. 7 in Current Problems in Diagnostic Radiology.

Thumbnail

Deep learning method may produce faster cardiac MRI reports

International researchers have created an artificial intelligence (AI) method capable of automatically quantifying left ventricle (LV) function from cine MRIs, according to a multivendor, multicenter study published Oct. 9 in Radiology. Experts believe it may lead to faster cardiac MRI reporting.

Thumbnail

Only 21% of case reports featuring images name radiologist as author

Only one-fifth of case reports containing medical images mention a radiologist as the co-author. Those reports were also lower in quality, according to research published online Sept. 20 in the Journal of the American College of Radiology.

Thumbnail

Trainee radiologist reports account for 52% of all errors

More than one-third of the errors in radiologist reports are made after-hours by trainees and then confirmed by a consultant radiologist, even though after-hours reports accounted for only 18 percent of all reports, according to research published Sept. 13 in Clinical Radiology.  

Around the web

GE HealthCare designed the new-look Revolution Vibe CT scanner to help hospitals and health systems embrace CCTA and improve overall efficiency.

Clinicians have been using HeartSee to diagnose and treat coronary artery disease since the technology first debuted back in 2018. These latest updates, set to roll out to existing users, are designed to improve diagnostic performance and user access.

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.