Date of Award
3-2006
Document Type
Thesis
Degree Name
Master of Science in Operations Research
Department
Department of Operational Sciences
First Advisor
Sharif H. Melouk, PhD
Abstract
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.
AFIT Designator
AFIT-GOR-ENS-06-14
DTIC Accession Number
ADA446209
Recommended Citation
Murphy, Tony A., "Analysis of Patient Information: An Empirical Modeling Approach" (2006). Theses and Dissertations. 3442.
https://scholar.afit.edu/etd/3442