prof. MUDr. Petr Štourač, Ph.D., MBA, LL.M., FESAIC
Vice-Dean for Development, Studies in General Medicine and Lifelong Learning, Faculty of Medicine
| phone: | +420 725 051 839 |
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Supervision
Field of study: Anesthesiology, Intensive Medicine and Pain Management
Topics of doctoral theses (supervisor)
- Dynamics of Selected Serum Immunological Markers in Pregnant Women and Possible Benefit for Peripartal Emergency Diagnostics – graduate 2024
- Factors of effectiveness of peripartal optimization of anaesthesiological management – graduate 2019
Topics of doctoral theses (consultant)
- Effect of perioperative pain management on the development of cancer – graduate 2024
Field of study: Anesthesiology, Intensive Medicine and Pain Management
Topics of doctoral theses (supervisor)
- Neuromuscular blockade in pediatric anaesthesia and possibilities for its optimization – ongoing study
- Malignant Hyperthermia in the Perioperative Process – graduate 2025
- Anesthesiological Management in Orofacial Cleft Patients – graduate 2025
- Effect of perioperative temperature management on blood coagulation in children – graduate 2025
Field of study: Anesthesiology, Intensive Medicine and Pain Management
Topics of doctoral theses (supervisor)
- Airway management in paediatric patient – graduate 2019
- Optimization of the application and reversal of neuroaxial block in high risk patients in relation to perioperative period – graduate 2018
Field of study: Healthcare Simulation
Topics of doctoral theses (supervisor)
- Zvládání stresu u studentů a lékařů v náročných situacích simulační výuky oborů urgentní medicíny: randomizovaná kontrolovaná studie efektivity eHealth programu pro rozvoj strategií zvládání stresu – ongoing study
- Parametry ovlivňující kvalitu simulační výuky – ongoing study
- Simulation Training for Identification and Prevention of Critical Incidents in Anesthesia and Intensive Care – graduate 2024
Field of study: Healthcare Simulation
Topics of doctoral theses (supervisor)
- Klinická aplikace neuronových sítí, deep learningu a AI v anesteziologii a intenzivní medicíně – ongoing study