Dear Healthcare Informatics Insider,
Do you know how "wired" your hospital is compared with others in Europe? If so, you likely have consulted HIMSS Analytics Europe, the source of the most comprehensive database of what hospitals in Europe have accomplished in healthcare IT.
This week, on the eve of the organization's second anniversary, AuntMinnieEurope.com spoke with managing director Uwe Buddrus to learn about what's been achieved and to inquire about HIT trends. Explore the world of HIMSS Analytics Europe by clicking here.
Speaking of HIMSS Analytics Europe, find out which hospital in Spain received accolades from the organization for achieving an all-electronic HIT environment by traveling here.
The ability of IT to improve healthcare for current and especially future generations of Europeans was promenaded in Copenhagen last month, when the Danish capital hosted the World of Health IT and eHealth Week 2012 conferences. These meetings demonstrated the importance of sharing information so that everyone can benefit from innovation and experiences.
Contributing writer Finn Snyder was on hand and reports on Norway's e-health initiative here. We also think you'll find our coverage of a session on interoperability for cloud computing and mobile health equally of interest.
Don't overlook Dr. Neelam Dugar's most recent guest column. In her latest contribution, Dugar discusses the role of PACS in recording radiation dose from imaging exams, a hot topic of concern and interest throughout the world.
Finally, you'll want to read senior editor Erik L. Ridley's report on what's happening in France with Région Sans Film, a cloud-based RIS, PACS, and archiving project in the greater Paris area. Click here to get the details.
If you'd like to share your experiences with the Healthcare Informatics Digital Community, please email me. We welcome ideas and suggestions from our readers.
![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)
