Date of Award
Master of Science in Operations Research
Department of Operational Sciences
Sharif H. Melouk, PhD
With rising costs and increasing complexities, many hospitals seek to better understand the intricate details of their operations. Increasingly, these organizations have a strong desire to accurately predict the resources required to effectively treat their patient load. This research investigates patient length-of-stay in a hospital neurological unit using an empirical modeling approach. Factors significantly affecting patient length of stay were identified and used to construct a regression model. The predictive model provides hospital decision makers with a compact tool to input what-if scenarios and predict future patient treatment lengths, thus, allowing the hospital to properly allocate resources.
DTIC Accession Number
Murphy, Tony A., "Analysis of Patient Information: An Empirical Modeling Approach" (2006). Theses and Dissertations. 3442.