Big Data, Data Science and Artificial Intelligence in Intensive Care Medicine.
Since the introduction of a patient data management system (PDMS) in 2017, healthcare data routinely collected at the Institute has been archived electronically. This includes treatment data such as medication use and ventilation parameters, as well as physiological data such as oxygen saturation, heart rate, and blood pressure. The PDMS we use allows all relevant parameters to be recorded once per minute. With the consent of the patients and the cantonal ethics committee, these extensive data sets are also available for research projects. By using specially protected high-performance computers and self-learning algorithms, it is possible to investigate these data with regard to a wide range of intensive care issues.
The dynamics of life processes arise from the interaction of physical, chemical and biochemical processes in an organism, and the interaction of the organism with the outside world. The physiological dynamics of a single vital parameter observed by medicine, such as the change in blood pressure over time, therefore reflects the processes of a highly complex system. Changes in dynamics during illness and recovery can provide important clues to the underlying structure of the system. With deeper knowledge of the structure, in turn, appropriate therapies could be developed and improved.
Since the Corona pandemic at the latest, we have been a virtual, dislocated team of experts. The secure virtual desktop infrastructure at the University Hospital allows us to continue our research without restrictions from the home office. If you are interested in a scientific collaboration, conducting a PhD or Master thesis, or if you would like to support our work financially, please contact Dr. Bartussek.
How to Synchronize Longitudinal Patient Data With the Underlying Disease Progression: A Pilot Study Using the Biomarker CRP for Timing COVID-19
If you are interested in writing a master’s or doctoral thesis with us, please contact:
Jan Bartussek Dr. Sc. ETH