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.
|Advisor:||Zayas-Castro, Jose, Huang, Shuai|
|Commitee:||Carey, Stephanie, Fabri, Peter, Savachkin, Alex, Velanovich, Vic|
|School:||University of South Florida|
|Department:||Industrial and Management Systems Engineering|
|School Location:||United States -- Florida|
|Source:||DAI-B 76/11(E), Dissertation Abstracts International|
|Subjects:||Statistics, Industrial engineering, Health sciences|
|Keywords:||Hospital readmissions, Nonlinear networks, Operating room scheduling, Stochastic programming, Tree structures|
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