Assistant Professor
Stanford University
San Francisco, California, United States
Dr. Christian Rose is a dual-boarded emergency physician and Informaticist specializing in the broad intersection of clinical medicine, informatics and innovation - specifically in machine learning, decision support, user-centered design and global health. He is particularly interested in the role of information systems to help to improve patient outcomes while allowing room for more humanism in medicine.
Dr. Rose began studying the effect of technology on the practice of medicine as part of his undergraduate degree in both Physics an Science, Technology and Society. In medical school at Columbia University, he pursued numerous informatics projects including identifying alert fatigue in electronic ordering systems, gene discovery using big data sets and human-centered design for breast cancer decision aids and was awarded a Doris Duke Research Fellowship to pursue these interests.
In his residency training at UCSF, Dr. Rose continued to broaden his scope of informatics interventions with projects ranging from radiology interface design to the development and deployment of a point-of-care decision aid to support the WHO’s Basic Emergency Care initiatives and was a chief resident at that program. As chief resident there, he had foundational experience with data acquisition and analysis for continuous quality improvement initiatives.
After residency, Dr. Rose completed his informatics training at Stanford University where he had the opportunity to study the burgeoning field of deep learning and AI, exploring new methodologies for various clinical use cases and how they may be used to innovate practice. However, just because technologies are powerful and continually growing does not mean that they are the right solutions for every problem. Finding product fit and designing for the people that use these systems is ultimately necessary for their successful deployment.
He is now an Assistant Professor in the Department of Emergency Medicine at the Stanford University School of Medicine where he works with an interdisciplinary team to develop and support the advancement of clinical practice through information technologies.
I do not have any relevant financial / non-financial relationships with any proprietary interests.