Contact Youyou Tao at Youyou.Tao@lmu.edu.
Youyou Tao is an assistant professor in the Department of Information Systems and Business Analytics in the College of Business Administration. She received her M.S. degree in information systems from the University of Washington, Seattle, and her Ph.D. in computer information systems from Georgia State University. Her research focus is on healthcare analytics and informatics. In particular, she applies the lenses of IT complementarity, business value, causal reasoning, and predictive analytics to examine the myriad intriguing issues in the healthcare industry. She has developed skills in a variety of advanced research methods including econometrics, latent growth modeling, structural equation modeling, Bayesian modeling, and social network analysis.
Georgia State University: Ph.D., Computer Information Systems 2017
University of Washington, Seattle: M.S. 2012
Guangdong University of Tech: B.Admin 2011
Areas of Expertise (4)
Healthcare Analytics and Informatics
Latent Growth Modeling
AIMS 3730 Programming for Business Applications
This course is an introduction to programming with an emphasis on its business application capability. Students will learn the basic techniques of programming from concepts to code. The objectives of this course are: making students comfortable with fundamental programming terminology and concepts, including data type, input/output, control statements methods, arrays, strings and files; giving students hands-on practical experience with modeling and problem solving; and illustrating to students how such models are translated into working business applications.
AIMS 2710 Management Information Systems
This course is designed to introduce students to the key concepts in MIS (Management Information Systems) and to enhance understanding of the issues that business organizations face when developing and managing information systems. The course will examine the fundamental principles associated with IT development and management and the increasing impact of information technology in business organizations. The field is in a state of flux, so the course will also examine emerging technologies and IT trends. By completing the course, students should be better equipped to make IT decisions, to participate in IT projects, and to communicate more knowledgeably with IT experts.
Functional IT Complementarity and Hospital Performance in the U.S.: A Longitudinal InvestigationInformation Systems Research
This paper examines complementarity between clinical health information technology (HIT) applications and their effects on three hospital-level performance measures: clinical quality, experiential quality, and healthcare cost.
Addressing Change Trajectories and Reciprocal Relationships: A Longitudinal Method for Information Systems ResearchCommunications of the Association for Information Systems
This paper makes a focused methodological contribution to the information systems (IS) literature by introducing a bivariate dynamic latent difference score model (BDLDSM) to simultaneously model change trajectories, dynamic relationships, and potential feedback loops between predictor and outcome variables for longitudinal data analysis.