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dc.contributor.advisorSir, Mustafa Yasareng
dc.contributor.authorDundar, Bayrameng
dc.coverage.spatialMissourieng
dc.date.issued2013eng
dc.date.submitted2013 Summereng
dc.descriptionJuly 2013.eng
dc.descriptionA Thesis presented to the Faculty of the Graduate School at the University of Missouri In Partial Fulfillment of the Requirements for the Degree Master of Science, Industrial Engineering.eng
dc.descriptionThesis supervisor: Dr. Mustafa Sir.eng
dc.description.abstractPatient classification systems are commonly used in nursing units to assess how many nursing care hours are needed to care for patients. In current practice, these systems utilize several patient acuity indicators to produce a single number for given patient, which is called the acuity score. These systems then provide staffing recommendations for a given patient census based on these acuity scores. Our new approach offers a mathematical model which uses patient acuity indicators data from a commercial patient classification system called AcuityPlus and a nurse workload survey from two nursing units at the University of Missouri Hospital. The model distributes workload calculated as a function of patient acuity indicators and nurses' perceived workload among nurses in a balanced way. More specifically, we consider nurses' preferences by conducting a survey in order to determine how much the workload of a nurse increases for each indicator. The purpose of this study is to conduct a comprehensive analysis of patient acuity indicators as a mean of balancing workload of nurses, and suggest nurse staffing and assignment models to aid decision-making. Our numerical results suggest that the proposed nurse-patient assignment models achieve a more balanced assignment of workload among nurses compared to assignment based on acuity scores from the commercial patient classification system.eng
dc.description.bibrefIncludes bibliographical references (pages 66-68).eng
dc.format.extent1 online resource (ix, 68 pages) : illustrations (chiefly color)eng
dc.identifier.oclc898044253eng
dc.identifier.urihttps://hdl.handle.net/10355/43991
dc.identifier.urihttps://doi.org/10.32469/10355/43991eng
dc.languageEnglisheng
dc.publisherUniversity of Missouri--Columbiaeng
dc.relation.ispartofcommunityUniversity of Missouri--Columbia. Graduate School. Theses and Dissertationseng
dc.sourceSubmitted by the University of Missouri--Columbia Graduate Schooleng
dc.subject.lcshHospital patients -- Classification -- Mathematical modelseng
dc.subject.lcshNursing services -- Administrationeng
dc.subject.lcshNurses -- Workload -- Mathematical modelseng
dc.subject.lcshHospitals -- Personnel managementeng
dc.titleIdentifying relationship between patient acuity indicators and nurse workloadeng
dc.typeThesiseng
thesis.degree.disciplineIndustrial and manufacturing systems engineering (MU)eng
thesis.degree.grantorUniversity of Missouri--Columbiaeng
thesis.degree.levelMasterseng
thesis.degree.nameM.S.eng


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