I didn’t have to wait long to get an answer to my question from Monday. kma.Online reported today (translated, emphasis mine): At this year's DMEA, Dedalus and Corti presented for the first time how their future collaboration is intended to work: "We are positioning Orbis
From kma.Online (translated): To support doctors in diagnostic and treatment decisions using artificial intelligence, Telekom has partnered with the Langen-based start-up Prof. Valmed. Its AI solution of the same name makes medical knowledge from millions of documents, such as studies and guidelines, directly available within the treatment
Last week Dedalus announced that it is stepping up on the agentic HIS arena, from E-HEALTH.COM (translated): Dedalus HealthCare has made this approach an integral part of ORBIS. As a result, ORBIS is evolving from a documentation system into an intelligent clinical partner – with AI that is not
From ai.berlin (emphasis mine): Charité – Universitätsmedizin Berlin has launched its own AI platform. "Clé" is available to staff in patient care, research, teaching and administration, and runs entirely on Charité's own servers. According to the hospital, that setup is so far unique among Germany'
Germany’s healthcare market is going through a complete makeover. Drastic changes in how hospitals work will cause drastic changes in how out-patient practices work. The former is funded by 50 billion EUR, the latter is not. Thank the KHVVG. Hospitals are being regrouped: they need to scale their
Few weeks ago I wrote about how using a single AI model for diagnostics is fundamentally biased: It is a well established fact that a single-person view is inherently subjective. We all have our blind spots, no matter how much of an expert somebody might be. The solution is
Starting with some “old” news, in March BfArM started reimbursing Class IIb DiGA apps, from reuschlaw: Prior to the Digital Act, DiGAs had been limited to the lower risk classes (I and IIa). This has now also been extended to the higher risk class IIb within the meaning of Art.
This is a continuation of Part 1 and Part 2. All that being said, there is a really good reason why hospitals and other care institutions should be thinkering with AI in-house, even if they shouldn’t necessarily be using it in production, and that has everything to do
You can read Part 1 here. When considering the cases in which AI could run on-premise, we need to understand the clinical workflow from the perspective of computing intensity, speed requirements and collaboration needs. Here is an easy example: An MRI or CT scan requires a massive computing power
Daily analysis of the strategy and business side of healthcare and technology in Germany and the EU, and what it means for the future.