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Full-Text Articles in Medicine and Health Sciences
Supply Chain Optimization Of Blood Products, Serkan Gunpinar
Supply Chain Optimization Of Blood Products, Serkan Gunpinar
USF Tampa Graduate Theses and Dissertations
Major challenges in the management of blood supply chain are related to the shortage and wastage of the blood products. Given the perishability characteristics of blood which can be stored up to a limited number of days, if hospitals and blood centers keep an excessive number of blood units on inventory, wastages may occur. On the other hand, if sufficient number of blood units are not stored on inventory, shortages of this resource may cause the cancellations of important activities and increase the fatality rates at hospitals. Three mathematical models have been developed with the goal to improve the efficiency …
Classification Models In Clinical Decision Making, Eleazar Gil-Herrera
Classification Models In Clinical Decision Making, Eleazar Gil-Herrera
USF Tampa Graduate Theses and Dissertations
In this dissertation, we present a collection of manuscripts describing the development of prognostic models designed to assist clinical decision making. This work is motivated by limitations of commonly used techniques to produce accessible prognostic models with easily interpretable and clinically credible results. Such limitations hinder prognostic model widespread utilization in medical practice.
Our methodology is based on Rough Set Theory (RST) as a mathematical tool for clinical data anal- ysis. We focus on developing rule-based prognostic models for end-of life care decision making in an effort to improve the hospice referral process. The development of the prognostic models is …
A Methodology For Scheduling Operating Rooms Under Uncertainty, Marbelly Paola Davila
A Methodology For Scheduling Operating Rooms Under Uncertainty, Marbelly Paola Davila
USF Tampa Graduate Theses and Dissertations
An operating room (OR) is considered to be one of the most costly functional areas within hospitals as well as its major profit center. It is known that managing an OR department is a challenging task, which requires the integration of many actors (e.g., patients, surgeons, nurses, technicians) who may have conflicting interests and priorities.
Considering these aspects, this dissertation focuses on developing a simulation based methodology for scheduling operating rooms under uncertainty, which reflects the complexity, uncertainty and variability associated with surgery.
We split the process of scheduling ORs under uncertainty into two main components. First, we designed a …