Location Utah, United States, North America Regions Western US Gender Male
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Kai Kuck, Ph.D., Director of Bioengineering and Professor of Anesthesiology, University of Utah, has been involved since 1991 with technology innovation in anesthesia and critical care. A former Fulbright scholarship recipient, he enjoys working at the interface between industry and academia, starting with his Ph.D. and post-doc work in the
anesthesiology bioengineering laboratory at the University of Utah, then joining industry and serving as head of research at Dräger, the #1 and #2 global market leader in anesthesia and critical care ventilators, respectively. Besides steering the research division, he also led partnerships with clinicians, small entrepreneurs, and University innovators to help translate their innovations into commercially viable products. In that role he also served in various functions to help steer the business development and growth of this Euro 2billion company. Dr. Kuck authored over 30 publications, including abstracts, peer-reviewed articles, and book chapters, and 14 US and international patents. Personnel in his direct reporting line of reporting were inventors on more than 65 granted patents and 110 patent applications.
As professor of anesthesiology and adjunct professor of biomedical engineering at the University of Utah Dr. Kuck directs the anesthesiology bioengineering research laboratory. He has the privilege of working closely with clinicians and learning about real-world needs and opportunities for technologies. Dr. Kuck is a past-president of the Society for Technology in Anesthesia.
Dr. Kuck's experience covers the whole range from hands-on engineering for hardware, software, algorithm, and graphical user interface development all the way to managing projects, programs, and large teams of researchers. His areas of focus include intelligent decision support, patient safety, and patient monitoring. In the latter area, he has been exploring approaches to monitoring cardiac output, systemic blood pressure, and real-time acute kidney injury risk.
