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 2018
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.
The Association Between Social Determinants of Health and Population Health Outcomes: Ecological AnalysisJMIR Public Health and Surveillance Journal
This study aimed to investigate the ecological association between SDOH factors and population health outcomes at the census tract level and the city level. The findings of this study can be applied to support local policy makers in efforts to improve population health, enhance the quality of care, and reduce health inequity.
Patient Trust in Physicians Matters—Understanding the Role of a Mobile Patient Education System and Patient-Physician Communication in Improving Patient Adherence Behavior: Field StudyJournal of Medical Internet Research
The ultimate goal of any prescribed medical therapy is to achieve desired outcomes of patient care. However, patient nonadherence has long been a major problem detrimental to patient health, and thus is a concern for all health care providers. Moreover, nonadherence is extremely costly for global medical systems because of unnecessary complications and expenses. Traditional patient education programs often serve as an intervention tool to increase patients’ self-care awareness, disease knowledge, and motivation to change patient behaviors for better adherence. Patient trust in physicians, patient-physician relationships, and quality of communication have also been identified as critical factors influencing patient adherence. However, little is known about how mobile patient education technologies help foster patient adherence.
Impact of Hospital Characteristics and Governance Structure on the Adoption of Tracking Technologies for Clinical and Supply Chain Use: Longitudinal Study of US HospitalsJournal of Medical Internet Research
Despite the increasing adoption rate of tracking technologies in hospitals in the United States, few empirical studies have examined the factors involved in such adoption within different use contexts (eg, clinical and supply chain use contexts). To date, no study has systematically examined how governance structures impact technology adoption in different use contexts in hospitals. Given that the hospital governance structure fundamentally governs health care workflows and operations, understanding its critical role provides a solid foundation from which to explore factors involved in the adoption of tracking technologies in hospitals.
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.