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dc.creatorFletcher, Douglas W
dc.date.accessioned2021-09-03T16:42:33Z
dc.date.available2021-09-03T16:42:33Z
dc.date.created2020-05
dc.date.issued2019-04-26
dc.date.submittedMay 2020
dc.identifier.urihttps://hdl.handle.net/1969.1/194523
dc.description.abstractThis study investigated the use of simulation modelling to promote informed decision making in two contexts: healthcare operations and classroom education. The first of these relied on a simple game-based model under a lean framework to aide healthcare stakeholder in the identification of overly variable processes. By creating a validation model in Microsoft Excel, we were able to create a communicable tool to assist in the universal implementation of lean methodologies. The second context identified the Monty Hall Problem as an efficacious example in helping decision makers overcome cognitive biases in decision making. We argue that the synthesis of this problem with simulation modelling can be used as a tool to teach three concepts: conditional probability, simulation, and informed decision making. Both parts of this investigation add to our understanding of the uses of simulation to promote decision making.en
dc.format.mimetypeapplication/pdf
dc.subjectSimulationen
dc.subjectStochastic healthcareen
dc.subjectHealthcareen
dc.subjectEducationen
dc.subjectMonte-Carloen
dc.titleTwo Applications of Simulation in Healthcare Decision Makingen
dc.typeThesisen
thesis.degree.departmentStatisticsen
thesis.degree.disciplineStatisticsen
thesis.degree.grantorUndergraduate Research Scholars Programen
thesis.degree.nameBSen
thesis.degree.levelUndergraduateen
dc.contributor.committeeMemberCote, Murray
dc.type.materialtexten
dc.date.updated2021-09-03T16:42:35Z


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