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Oliver Kimberger
Univ.Prof.Dr. Oliver Kimberger, MSc, MBAinterim. Head of Department

Department of Anaesthesia, Intensive Care Medicine and Pain Medicine (Division of General Anaesthesia and Intensive Care Medicine)
Position: Professor

ORCID: 0000-0002-9766-1360
T +43 1 40400 14560

Further Information


Attitude to Computers; Automatic Data Processing; Body Temperature Changes; Computer Literacy; Data Interpretation, Statistical; Data Mining; Database Management Systems; Decision Making, Computer-Assisted; Decision Support Techniques; Diagnosis, Computer-Assisted; Drug Therapy, Computer-Assisted; Human-computer Interaction; Hypothermia; Statistics; Therapy, Computer-Assisted; Thermometers

Research group(s)

Research interests

My main research focus is the application/implementation of novel data processing technology in the field of perioperative data science for decision support, disease detection and prevention and - ultimately - establishment of personalized medicine via "virtual twin" concepts and also includes human/computer interaction. 

Additionally my research interests include hypothermia research (accidental and therapeutic),  methods for the conservation of normothermia and measurement of core temperature. 

Techniques, methods & infrastructure

Perioperative Data Science Lab with access to supercomputing, "big data" processing, data mining analytics, AR/VR methodology in collaboration with the LBI for Digital Health and Patient Safety. 

Selected publications

  1. Laxar, D. et al. (2023) ‘The influence of explainable vs non-explainable clinical decision support systems on rapid triage decisions: a mixed methods study’, BMC Medicine, 21(1). Available at:
  2. Wallisch, C. et al. (2021) ‘Development and internal validation of an algorithm to predict intraoperative risk of inadvertent hypothermia based on preoperative data’, Scientific Reports, 11(1). Available at:
  3. Dibiasi, C. et al. (2023) ‘Predicting Intraoperative Hypothermia Burden during Non-Cardiac Surgery: A Retrospective Study Comparing Regression to Six Machine Learning Algorithms’, Journal of Clinical Medicine, 12(13), p. 4434. Available at:
  4. Bologheanu, R. et al., 2021. A retrospective study of sugammadex for reversal of neuromuscular blockade induced by rocuronium in critically ill patients in the ICU. Available at:
  5. Maleczek, M. et al. (2023) ‘Intraoperative Hypotension Is Associated with Postoperative Nausea and Vomiting in the PACU: A Retrospective Database Analysis’, Journal of Clinical Medicine, 12(5), p. 2009. Available at: