Dear Healthcare Informatics Insider,
Radiologists are often urged to have more direct contact with patients, and this phenomenon looks set to take on added resonance this month with the launch of a commercial website for patients seeking a second opinion. The concept and approach are intriguing, and it's worth a close look. To read more, click here.
Healthcare imaging and IT professionals must learn more about HL7, particularly because image-enabling the electronic medical record is becoming a very hot topic, according to columnist Herman Oosterwijk. You don't have to be an expert, but you need to know how to communicate with vendors and the HL7 specialists, and know enough to visualize any issues and bring them to the surface, he advises. Get the full story here.
The eagerly awaited white paper on teleradiology still needs formal approval by the executive council of the European Society of Radiology, but it was discussed on 11 October at the Management in Radiology congress in Barcelona, Spain. Click here for our news report.
At the end of the summer, Dr. Neelam Dugar, former chair of the U.K. Royal College of Radiologists' Imaging Informatics Group, and her colleagues at Doncaster Royal Infirmary completed the replacement of their PACS. They're keen to share their experiences, and for part one of this series of articles, click here.
The Integrating the Healthcare Enterprise initiative's Cross-Enterprise Document Sharing for Imaging integration profile supports image and report sharing between hospitals, but privacy concerns limit its use in the cloud. Portuguese researchers may have found a solution. Learn more here.
This is just a small sample of articles that have been posted over recent weeks in your Healthcare Informatics Digital Community. For a full list, see below.
![A normal mammogram confirmed by three-year radiologic follow-up illustrates reader-marked regions of interest (ROIs) during (A) unaided (round 1) and (B) artificial intelligence (AI)–assisted (round 2) reading. Each colored dot represents an ROI for recall by a human reader. Readers could mark more than one ROI per case, represented by multiple dots of the same color. During AI-assisted reading, the AI system displayed three visible prompts: two with suspicion of malignancy scores of 35% (left mediolateral oblique [L MLO] and craniocaudal [L CC]) and one with a suspicion of malignancy score of 10% (right craniocaudal [R CC]), shown as polygonal overlays. Without AI, six of 10 readers (60%) marked a false-positive ROI. With AI assistance, this fell to two of 10 (20%). R MLO = right mediolateral oblique.](https://img.auntminnieeurope.com/mindful/smg/workspaces/default/uploads/2026/07/2026-07-14-radiology-mammogram-ai-auto-bias.H0bYO8QlWs.jpg?auto=format%2Ccompress&dpr=2&fit=crop&h=167&q=70&w=250)
