Graduation Year
2015
Document Type
Dissertation
Degree
Ph.D.
Degree Name
Doctor of Philosophy (Ph.D.)
Degree Granting Department
Industrial and Management Systems Engineering
Major Professor
Jose Zayas-Castro, Ph.D.
Co-Major Professor
Shuai Huang, Ph.D.
Committee Member
Peter Fabri, M.D.
Committee Member
Alex Savachkin, Ph.D.
Committee Member
Stephanie Carey, Ph.D.
Committee Member
Vic Velanovich, M.D.
Keywords
Hospital Readmissions, Nonlinear Networks, Operating Room Scheduling, Stochastic Programming, Tree Structures
Abstract
The efforts to improve health care delivery usually involve studies and analysis of patient populations and healthcare systems. In this dissertation, I present the research conducted in the following areas: identifying patient groups, improving treatments for specific conditions by using statistical as well as data mining techniques, and developing new operation research models to increase system efficiency from the health institutes’ perspective. The results provide better understanding of high risk patient groups, more accuracy in detecting disease’ correlations and practical scheduling tools that consider uncertain operation durations and real-life constraints.
Scholar Commons Citation
Liu, Yazhuo, "Patient Populations, Clinical Associations, and System Efficiency in Healthcare Delivery System" (2015). USF Tampa Graduate Theses and Dissertations.
https://digitalcommons.usf.edu/etd/5726
Included in
Industrial Engineering Commons, Medicine and Health Sciences Commons, Statistics and Probability Commons
