Assistant Professor, Learning Health Sciences
zachll@umich.edu
Office Information:
Learning Health Sciences, 1161J NIB
African Studies Center;
ASC Faculty
Education/Degree:
PhD in Biomedical Informatics, University of Pittsburgh
About
Zach Landis-Lewis is an Assistant Professor of Learning Health Sciences. He is developing computable models within a system to support automated tailoring of clinical performance feedback for healthcare professionals and teams, in both high- and low-resource contexts. He teaches a course on knowledge representation and knowledge management in health to graduate students. His research incorporates a global health focus, addressing the modeling of clinical practice guidelines in low-income countries for the purpose of developing automated performance feedback to improve learning in health care. He received a PhD in Biomedical Informatics and a Master of Library and Information Science from the University of Pittsburgh.
