Keywords
Anesthesia; Critical Care; Data Science; Patient Safety; Patient Simulation
Research group(s)
- Medical Simulation and Emergency Medical Management
Research Area: This group focuses on emergency medicine, cardiopulmonary resuscitation and medical simulation. In addition to technical and therapeutic innovations, the "human factors" that link all these subject areas are a central factor.
Members: - AG Daten
Head: Oliver Kimberger
Research Area: Perioperative Data Science
Members:
Selected publications
- Maleczek, M. et al. (2024) ‘A Comparison of 5 Algorithmic Methods and Machine Learning Pattern Recognition for Artifact Detection in Electronic Records of 5 Different Vital Signs: A Retrospective Analysis’, Anesthesiology [Preprint]. Available at: https://doi.org/10.1097/aln.0000000000004971.
- 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: https://doi.org/10.3390/jcm12052009.
- Hermann, M. et al. (2022) ‘Duration of invasive mechanical ventilation prior to extracorporeal membrane oxygenation is not associated with survival in acute respiratory distress syndrome caused by coronavirus disease 2019’, Annals of Intensive Care, 12(1). Available at: https://doi.org/10.1186/s13613-022-00980-3.
- Duma, A. et al. (2019) ‘Major Adverse Cardiac Events and Mortality Associated with Electroconvulsive Therapy’, Anesthesiology, 130(1), pp. 83–91. Available at: https://doi.org/10.1097/aln.0000000000002488.
- Gratz, J. et al. (2021) ‘Risk of Clinically Relevant Venous Thromboembolism in Critically Ill Patients With COVID-19: A Systematic Review and Meta-Analysis’, Frontiers in Medicine, 8. Available at: https://doi.org/10.3389/fmed.2021.647917.