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dc.contributor.advisorNoble, James S.eng
dc.contributor.authorLee, Fock Choyeng
dc.date.issued2006eng
dc.date.submitted2006 Summereng
dc.descriptionThe entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file.eng
dc.descriptionTitle from title screen of research.pdf file viewed on (June 26, 2007)eng
dc.descriptionIncludes bibliographical references.eng
dc.descriptionThesis (M.S.) University of Missouri-Columbia 2006.eng
dc.descriptionDissertations, Academic -- University of Missouri--Columbia -- Industrial engineering.eng
dc.description.abstractPerformance measurement has been widely used in the manufacturing industry for years. This research has focused on the adaptation of a performance measurement system used in manufacturing for application in health care systems. This research proposed a quantitative performance measurement system to apply in the health care industry. The main objective and critical factors to the system were first established to be included in the framework. The main objective and the critical factors were then decomposed in a top-down fashion to identify clearly the requirements of the system and the means to achieving those requirements. After breaking down the main factors to sub-components, these sub-components were then connected based on their qualitative relationships. The components are integrated using incremental calculus and measured by marginal analysis, the effects to the system by a given incremental change of each variable.The proposed framework was applied to Green Meadows Clinic to measure the effects of changing ten percent of the physician and nursing manpower, the clinic's expenses, patients' turnout to the operating margin of the clinic. The major accomplishments of this work included the incorporation of a system engineering tool to health care system performance measurement and the ability to show the overall effects to the system as a whole by making marginal changes to the inputs, thus helping health care managers to make better decisions.eng
dc.identifier.merlinb58877204eng
dc.identifier.urihttp://hdl.handle.net/10355/4583
dc.languageEnglisheng
dc.publisherUniversity of Missouri--Columbiaeng
dc.relation.ispartofcommunityUniversity of Missouri--Columbia. Graduate School. Theses and Dissertationseng
dc.subject.lcshMedical careeng
dc.subject.lcshSystems engineeringeng
dc.subject.lcshHealth services administrationeng
dc.titleA quantitative performace measurement framework for health care systemseng
dc.typeThesiseng
thesis.degree.disciplineIndustrial engineering (MU)eng
thesis.degree.grantorUniversity of Missouri--Columbiaeng
thesis.degree.levelMasterseng
thesis.degree.nameM.S.eng


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