Medical decision making in patients with chronic diseases

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dc.contributor Murali, Karthik
dc.contributor Parton, Jason M.
dc.contributor English, Thomas M.
dc.contributor.advisor Melouk, Sharif H.
dc.contributor.advisor Mittenthal, John
dc.contributor.author Mirghorbani, Seyedeh Saeideh
dc.date.accessioned 2018-12-14T18:11:34Z
dc.date.available 2018-12-14T18:11:34Z
dc.date.issued 2018
dc.identifier.other u0015_0000001_0003031
dc.identifier.other Mirghorbani_alatus_0004D_13578
dc.identifier.uri http://ir.ua.edu/handle/123456789/5163
dc.description Electronic Thesis or Dissertation
dc.description.abstract Inefficient resource allocation and planning, expensive treatment costs, and low patient adherence to medication plans lead to undesired health outcomes in patients with chronic diseases. Operation research and stochastic decision process models have provided significant opportunities to assist physicians and healthcare providers with these complexities. Using advanced stochastic decision-making processes, this dissertation contributes to the field of medical decision making in patients with chronic diseases. We use Markov decision process and partially Markov decision process models to address our research questions. The first contribution investigates the impact of patient adherence on health outcomes and medication plans in patients with Type 2 diabetes. The second contribution, that is an extension of the first contribution, investigates the financial effects of nonadherence to medication plans in patients with Type 2 diabetes. The experimental results of these two studies reveal the importance of higher adherence to the medication in achieving desired health outcomes and expenses. Finally, the third contribution focuses on patients with a risk of Alzheimer’s disease and aims to provide observation-based screening plans that consider patient risk factors.
dc.format.extent 103 p.
dc.format.medium electronic
dc.format.mimetype application/pdf
dc.language English
dc.language.iso en_US
dc.publisher University of Alabama Libraries
dc.relation.ispartof The University of Alabama Electronic Theses and Dissertations
dc.relation.ispartof The University of Alabama Libraries Digital Collections
dc.relation.hasversion born digital
dc.rights All rights reserved by the author unless otherwise indicated.
dc.subject.other Health care management
dc.title Medical decision making in patients with chronic diseases
dc.type thesis
dc.type text
etdms.degree.department University of Alabama. Department of Information Systems, Statistics, and Management Science
etdms.degree.discipline Operations Management
etdms.degree.grantor The University of Alabama
etdms.degree.level doctoral
etdms.degree.name Ph.D.


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