The research project followed this approach by modelling interdisciplinary infection management at the ICU based on microbiological consultation data and an extensive collection of routine EMR.
The project is a collaboration between the UMCG (Department of Medical Microbiology and Infection Prevention & Department of Critical Care) with the team Data Science, Center for Information Technology (CIT/RUG).
Both parties will present their takes on working with the data, creating a prediction model, and working in a cross-disciplinary team that bridges critical care, microbiology, and data science.
Christian is a PhD candidate at the Department of Medical Microbiology & Infection Prevention in collaboration with the Department of Critical Care with a background in medicine (RWTH Aachen University) and global health (Karolinska Institutet Stockholm). In his research, Christian focuses on clinical decision making and antimicrobial stewardship. Essential parts of his work are the use of routine healthcare data, data visualisation, antimicrobial resistance reporting, machine learning, and the use of open-source software.
He is supports projects in genomics, medicine, computational journalism, chemistry and consultancy.
