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Operations Research, Systems Engineering and Industrial Engineering Commons

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Medicine and Health Sciences

University of Arkansas, Fayetteville

Industrial Engineering Undergraduate Honors Theses

2016

Articles 1 - 2 of 2

Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering

Improving Reliability Of Medical Device Tracking Using Unique Device Identification, John A. Bonfanti May 2016

Improving Reliability Of Medical Device Tracking Using Unique Device Identification, John A. Bonfanti

Industrial Engineering Undergraduate Honors Theses

The term “disruptive innovation” has been the buzzword of industries looking to create technological advancements in their respective fields ever since the term was first coined in 1995. In order to invest in the future of the industry, companies are beginning to focus on new, innovative ideas that come into the market as a low-cost alternative to the sustaining innovations currently in place. Similar business-models can be seen in the healthcare industry, as physicians look to disruptive innovations to provide methods of diagnosis and treatment that are easier to perform and maintain. Companies, from medical device manufacturers to the hospitals …


Predicting Nonadherence Behavior Towards Mammography Screening Guidelines, Brian L. Trussell May 2016

Predicting Nonadherence Behavior Towards Mammography Screening Guidelines, Brian L. Trussell

Industrial Engineering Undergraduate Honors Theses

The goal of this research is to examine factors associated with nonadherence behavior toward mammography screening among U.S. women. The 2014 Behavioral Risk Factor Surveillance System (BRFSS) survey data was used for this study, allowing the model to represent a robust sample. A logistic regression model was developed to gain an understanding of influencing factors, including demographic, health-related and behavioral characteristics. Further analysis with logistic regression models stratified by age were conducted to control for the effect of age. The results show that demographic and health related information such as income, number of children, and BMI category can help intervention …