Associate Professor - medical
Strategic program(s):
Biography
Teus Kappen trained as a medical doctor at Utrecht University (1999-2005). After his graduation, he worked as a senior house officer at the pediatric intensive care unit of the WKZ. In January 2006 he began his residency in anesthesiology at the anesthesiology department of the UMC Utrecht under supervision of prof. dr. J.T.A. Knape. In 2013 he started a fellowship in pediatric intensive care. After his fellowship, he returned to the anesthesiology department of the UMC Utrecht to work as an attending anesthesiologist for both adults and children.
His interest in clinical research started during an elective research project on medically unexplained symptoms at the Netherlands Institute for Health Services Research (NIVEL) under supervision of prof. dr. S. van Dulmen. Simultaneously, he started his Ph.D. training and research project on the implementation of a prediction model that provided clinical decision support for postoperative nausea and vomiting prophylaxis, which he completed in May 2015. He obtained his Master of Science degree in Clinical Epidemiology at Utrecht University in 2009 and registered as an Epidemiologist B in 2021.
June 2015 he started a postdoctoral research fellowship at the Perioperative Informatics Research Group of Vanderbilt University Medical Center, Nashville, TN. He participated in multiple data-driven research projects, including several projects on the development and implementation of clinical decision support. His central research question became: “how can computers help healthcare providers make better decisions?” For this multidisciplinary research question he collaborates with scientists from various fields, such as Information technology, Statistics, Public Governance, Business Process Management, Usability & Design Thinking, and Artificial Intelligence.
In 2019 he became the Chief Science Information Officer of the UMC Utrecht and was appointed associate professor, focused on how data can be employed to improve healthcare processes. In 2021 he became the product manager of the new dataplatform of the UMC Utrecht.
Research aim
Our research aim is to improve prevention and early detection of complications in surgical patients, in order to reduce morbidity and improve or preserve quality of life, and to develop novel monitoring techniques and advanced AI technology.
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