This article describes how the poorly designed EHR user interfaces from the early 2000s have lead to physician fatigue and put patients at risk. Fast forward to 2022, where we see issues with data quality when trying to use EHR data to generate Real-World-Evidence. Turns out, these 40-Item-Dropdown-Fields have lead users to rather „misuse“ freetext fields for orders and documentation - thereby causing sparse datasets and challenges for pseudonymization. This is just another reason to strongly focus on UX of EHR systems and other medical devices....

In 2021, one of the most thought-provoking articles highlighted the gap between the excitement surrounding AI in healthcare and the actual products that emerged. This divergence underscores a crucial lesson: the necessity of interdisciplinary development teams. Silos in Expertise During the COVID-19 pandemic, numerous AI tools were rapidly developed to assist with hospital diagnoses and patient care. However, many of these tools failed to deliver on their promises. The root of this issue lies in the isolated development processes....

This article from the german Ärzteblatt describes a recent survey reveals that 50% of Germans are open to donating their health data for research purposes. This data could significantly advance studies on chronic and rare diseases, providing valuable insights for the medical community. While this is a promising result, it is important to note that the data must be handled responsibly and with the utmost care to protect the privacy of the donors....

Dr. Schmidt controlling an image viewer in the OR via hand gestures The digitalization of medicine is progressing and accelerating further due to the German Hospital Future Act (KHZG). As a community, we should not forget to evaluate the developed solutions, apps, and AI algorithms together with the users. This works excellently in cooperation with clinics and practices. From such a collaboration with mbits imaging, a paper has emerged that is now available as Open Access....