Yesterday I wrote how ChatGPTs integration with Epic is nothing new for Epic itself - there wasn’t even a press release from their side about it! -, even as it is table stakes for OpenAI in their effort to become the new home for healthcare. The big question in my eyes
From Fierce Healthcare: ChatGPT for Healthcare, initially announced in January, as a workspace for researchers, clinicians and administrators, powered by GPT-5 models that went through doctor-led testing. The company developed a suite of tools for healthcare enterprises as it expands its reach to hospitals and health systems. In
Getting chatGPT to generate a visual out of the sketch turned out to be more time consuming than drawing the sketch by hand. Old school it is then. Made a high level sketch of how data flows in and out of the ePA (elektronische Patientenakte or Electronic Patient Record): Leaving
Only parents know how quickly, and at the same time slowly, a two week vacation with kids goes. Today I’m back on the regular posting schedule. A funny news article caught my attention (well done!), so I had to look into that: Fast-Food-Pharmazie The idea of scanning
This is the third point I want to address as part of my effort to explore the capacity constraints in the German healthcare system. Part one was looking at cost of care and part two from yesterday was about the origins of the physicians shortages in Germany. 200 years ago
To continue the cost of care thread from yesterday, the second big capacity constraint is around clinicians. Here is a quick recipe for how to think about this problem: 1. First we take specialists such as radiologists and dermatologists (in-patient care) vs GPs (out-patient care). 2. Second we
Last week I listed what I believe are the main factors contributing to capacity constraints in the healthcare system in Germany. Some of those are being already addressed in various ways, while others remain an open field (or shall we call it a blue ocean?): * Reimbursement incentives: Until recently, hospitals
There are three main problems with the healthcare system in Germany: 1. Bad economics: cost of care is too high. This is driven by many factors, including reimbursement incentives, high manual work, various system inefficiencies and silos, and the medical field simply developing further and finding ever more cures for
From a16z: To understand where AI fits, it helps to decompose drug discovery into its three essential stages: 1.Disease-to-mechanism: Identifying a biological mechanism — a pathway, a target, a molecular interaction — where therapeutic intervention will alter the course of disease in humans. 2.Mechanism-to-drug: Creating a
There is a lot to be said and seen about how the KHVVG and KHZG reforms are going to change the German healthcare market, but the goals are clear, from Springer Nature: The financing reform, as a central component of the Hospital Care Improvement Act (KHVVG), was associated with a
AI is a change agent and NfX suggests three ways how the workflow might change: The first idea is that specialised AI tools - for example for diagnosis, documentation or billing - will need to be managed and orchestrated into a single smooth workflow. The opportunity is in owning and orchestrating the
From Fierce Biotech: GSK is boosting its AI chops with a new deal worth up to $110 million with Relation. The British Big Pharma and AI-focused biotech will work together in a new research collaboration focused on “generating large-scale human cellular perturbation data and deploying them into models,