Welcome To the Knowledge Systems Lab 

The rapid emergence of new forms of computable biomedical knowledge (CBK) in healthcare, including predictive risk models, machine learning, natural language processing, computable phenotypes, practice guidelines, and process models, warrants intelligent and evidence-based infrastructure. To keep up with the rapid pace of development, research is needed to understand best how to develop, implement, disseminate, and steward CBK to make it findable, accessible, interoperable, reusable, and trusted.  

The Knowledge Systems Lab is an interdisciplinary research group housed in the University of Michigan Medical School's Department of Learning Health Sciences. Our work focuses on advancing the science of computable biomedical knowledge. We seek to deeply understand the engineering, mechanics, and uses of computable knowledge artifacts and the infrastructure that facilitates their development, implementation, dissemination, and stewardship. To learn more about our work, please look at our mission & vision, and Contact Us if you would like to know more about our research!