Dissertation/Thesis Abstract

Patient Populations, Clinical Associations, and System Efficiency in Healthcare Delivery System
by Liu, Yazhuo, Ph.D., University of South Florida, 2015, 87; 3714134
Abstract (Summary)

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.

Indexing (document details)
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
Publication Number: 3714134
ISBN: 978-1-321-91215-9
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