Dear Healthcare Informatics Insider,
Welcome to the first edition of AuntMinnieEurope.com's Healthcare Informatics Insider, a periodic newsletter focusing on the latest news in healthcare IT as reported in our Healthcare Informatics Digital Community.
This edition starts off with a new report on the disruptive impact of open-source software and social networking, published in the June issue of European Radiology. Lead author Dr. Osman Ratib of University Hospital of Geneva in Switzerland explains his team's belief that open-source software will challenge commercial software, while social networking will change the way physicians interact with patients. Learn more about this intriguing thesis by clicking here.
In another article we're featuring in the community, a new research report indicates just how vulnerable many European healthcare organizations are to security breaches. The study found that half of the sites surveyed couldn't quantify the number and type of breaches that had occurred at their facilities in the past year. Get the rest of the story by clicking here.
We're also highlighting a brace of articles on teleradiology. The first story explores how teleradiology can be a workflow boon, but is not yet a "plug and play" solution, while the second is a preview to a soon-to-be-released user guide to the French government's 2010 decree on telemedicine.
Also give a look to these stories:
- An article by guest columnist Dr. Neelam Dugar on how PACS has a crucial role to play in accessing clinical information
- A critical report on the U.K.'s electronic records program
- A pair of reports on the World of Health IT (WoHIT) conference in Budapest, one on the potential of cloud computing and the other on the shift that's needed to make more effective use of electronic health records
Get these stories and more in your Healthcare Informatics Digital Community. If you know any colleagues who are interested in following this topic, feel free to forward them this newsletter.
![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)
