Martin Sedlmayr

Aug 30, 2024 | fis.tu-dresden.de | Maria Zerlik |Ian-C Jung |Katharina Schuler |Martin Sedlmayr

INTRODUCTION: User-centered data visualizations can reduce physician cognitive load and support clinical decision making. To facilitate the selection of appropriate visualizations for single patient health data summaries, this scoping review provides a literature overview of possible visualization techniques and the corresponding reported user-centered design phases.

Aug 22, 2024 | fis.tu-dresden.de | Katharina Schuler |Martin Sedlmayr |Ian-C Jung |Maria Zerlik

This paper reports lessons learned during the early phases of the user-centered design process for an explanation user interface for an AI-based clinical decision support system for the intensive care unit. This paper focuses on identifying and verifying physicians' explanation needs in a multi-center, multi-country project.

Aug 22, 2024 | fis.tu-dresden.de | Katharina Schuler |TUD Dresden |Martin Sedlmayr |Brita Sedlmayr

Clinical decision support systems (CDSS) can efficiently support doctors in coping with ever-increasing amounts of data by providing evidence-based recommendations for medical decisions. To integrate the systems into the medical workflow and provide patient-specific recommendations for action in the context of personalized medicine, it is essential to tailor the systems to the context of use.