Posts by date: 2024 / 5 en https://www.prod.p-fwcbrr.project.space/en/blog/archive/2024/may?type=230 Sat, 06 Jun 2026 04:45:54 +0200 Blood and urine tests, ultrasound, X-rays, lung function tests, etc.: It is no exaggeration to say that Diagnostiek voor U in the Netherlands covers the entire diagnostic spectrum. About eight million investigations a year are performed and evaluated at in-house laboratories and at the 44 sites in and around Eindhoven. Reliability, speed, and continuous process optimization are the requirements for successfully managing this volume. For this reason, the Dutch company also opted for JiveX Enterprise PACS when the existing PACS was due for replacement. https://www.prod.p-fwcbrr.project.space/en/blog/all-inclusive-diagnostics.html Thu, 23 May 2024 11:18:08 +0200 https://www.prod.p-fwcbrr.project.space/en/blog/all-inclusive-diagnostics.html Technical insights into the development of software solutions that generate AI-based results or use them is one thing. It is another thing altogether to have the procedural knowledge to be able to evaluate and influence the quality of the contents. Improving the quality of treatment in healthcare often needs more than “just” adequate technology. It needs solutions that generate reliable and transparent information from the available data. The substantial links between data and their quality must be identified and exploited to achieve this. https://www.prod.p-fwcbrr.project.space/en/blog/data-usage-in-medicine-smarter-with-ai.html Thu, 16 May 2024 10:50:22 +0200 https://www.prod.p-fwcbrr.project.space/en/blog/data-usage-in-medicine-smarter-with-ai.html Only a very few, if any, radiologists are worried that AI will make their job redundant. But does this mean that AI should be promoted to a radiologist’s “best buddy”? Who knows. There are supposedly people who find conversations with Alexa the same as talking to a friend. https://www.prod.p-fwcbrr.project.space/en/blog/best-buddies-in-radiology.html Thu, 25 Apr 2024 12:34:23 +0200 https://www.prod.p-fwcbrr.project.space/en/blog/best-buddies-in-radiology.html That AI is increasingly establishing itself in radiology is generally and rightly seen as a success and an important step toward the future. Ultimately, healthcare will—and must—become digital to be able to deal with future challenges. But still the question must be allowed: are our expectations of AI realistic? Is it really going to be a “best buddy” in radiology or just a “false friend”? https://www.prod.p-fwcbrr.project.space/en/blog/ai-will-be-a-partner-for-employees-in-healthcare.html Thu, 25 Apr 2024 13:08:56 +0200 https://www.prod.p-fwcbrr.project.space/en/blog/ai-will-be-a-partner-for-employees-in-healthcare.html The volume of data in radiology is already enormous. A cranial scan 20 years ago needed just 25 images—today it needs between 120 and 5000 images. This potentially increases the quality of the finding but pushes radiologists to the limits of their capacity in terms of time and attention span. If non-radiological data relevant to the finding are also added as well as data from AI, information management—the core task of radiology in the treatment process—becomes a major challenge. https://www.prod.p-fwcbrr.project.space/en/blog/pacs-as-a-data-warehouse.html Thu, 25 Apr 2024 12:48:07 +0200 https://www.prod.p-fwcbrr.project.space/en/blog/pacs-as-a-data-warehouse.html