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.

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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.

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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.

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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.

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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.

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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.

UH Cleveland

Rethinking Image Sharing: Cleveland Trailblazers Link 20+ Hospitals and Provider Sites

Sponsored by Sectra

Cleveland is yet again blazing new ground in healthcare. This time, myriad health systems are actively collaborating to share images. A first for the U.S., we believe. University Hospitals Health System (UH) is leading the charge that now includes more than two dozen hospitals, providers sites and health systems and counting. Here’s how they did it.

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Only 39% of healthcare providers confident in medical device security

Just 39 percent of healthcare organizations and providers are confident in their medical device security, according to report by KLAS, College of Healthcare Information Management Executives (CHIMES) and the Association for Executives in Healthcare Information Security (AEHIS).

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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.