Building tomorrow’s healthcare applications with University Hospital Essen and the AWS European Sovereign Cloud

University Hospital Essen is one of Germany’s leading centers for specialist and intensive medicine, treating more than 240,000 patients a year across 27 departments. As a pioneer of the Smart Hospital model, it brings together interoperability, AI, and clinical data science to reinvent how care is delivered. A key example is its AI‑driven body composition analysis, which Hosch says is one of his team’s “most exciting projects,” powered by algorithms that extract biomarkers such as visceral fat and muscle mass directly from advanced medical imaging data. By using AWS, Essen can scale this capability beyond its own institution, enabling other hospitals and end users to benefit from the same cloud-based insight.

The body composition work sits within a broader digital architecture designed to make clinical data more accessible and actionable. A core pillar of that strategy is the Smart Hospital Information Platform (SHIP). SHIP unifies all primary clinical systems into a single data lake using the Fast Healthcare Interoperability Resources (FHIR) standard, giving researchers governed access to longitudinal patient data, imaging, laboratory results, and device streams. This interoperability backbone allows Essen to accelerate research, support AI development, and build the digital infrastructure for the future of clinical care.

For University Hospital Essen, digital sovereignty is central to how clinical data is handled and how AI is scaled. “Digital sovereignty is a priority for us as a hospital because we work with very sensitive patient data,” says Hosch. “The AWS European Sovereign Cloud enables us to build our applications in a trustworthy and GDPR-compliant environment, which is fundamental to scale up our applications and make a difference in the development of healthcare applications of tomorrow.”

Working in this sovereign cloud environment, Essen can move quickly and safely from early-stage research models to production‑grade AI. “AWS enables us to bring isolated research prototypes from research settings into scalable applications,” says Hosch. “Services like Amazon SageMaker, Amazon Bedrock, AWS Lambda, Amazon EC2, and many more are very important to scale these applications.”