MedInf-AI – Medical Informatics in Anesthesiology & Intensive Care

MedInf-AI is a research group working at the interface of medical informatics, anesthesiology, and intensive care medicine. We design, implement, and evaluate digital systems that support clinicians with guideline-based decision support, machine learning models, and usable clinical interfaces.

Our goal is to turn routine clinical data and evidence-based guidance into reliable, transparent, and clinically actionable tools for everyday care.

Research Focus

• Digital clinical guidelines & automated monitoring
  • Representation of clinical practice guidelines using FHIR and related standards
  • Automated assessment of guideline applicability and adherence on standardized clinical data (e.g., OMOP, FHIR)
  • ML for critical care & perioperative medicine
• Predictive models for critical clinical events (e.g., sepsis, organ dysfunction, postoperative complications)
  • Robust modelling across heterogeneous ICU environments
  • Clinical decision support & usability
  • Designing context-aware decision support that fits into existing workflows