Prof. Dr. Erwin Böttinger


The focus is on the following research areas: 

  • Knowledge representation: extracting information from disparate data sources and making information interoperable across diverse information systems
  • Telemonitoring/medical sensor technologies: extracting useful and useable information from real-time sensor technologies and internet of things
  • Machine learning/deep learning: developing innovative methods for diagnosing health problems/predicting health outcomes in high-dimensional, heterogeneous data
  • Intelligent personal health assistance and/or clinical decision support agents: developing artificial intelligence solutions to improve health outcomes through supporting better personal health decisions and better clinical care decisions
  • Data sovereignty: Developing innovative electronic consent procedures that enable patient-/person-centric sovereignty concerning data access, sharing and use
  • Privacy protection: enhancing trust with advanced digital tools and methods for privacy protection, such as data de-identification (pseudonymization) and anonymization, or encryption 

How does digital transformation affect the health system