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Utilizing real-time location data for performance monitoring in healthcare systems

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TypeOfResource
Text
TitleInfo (ID = T-1)
Title
Utilizing real-time location data for performance monitoring in healthcare systems
SubTitle
PartName
PartNumber
NonSort
Identifier (displayLabel = ); (invalid = )
ETD_1881
Identifier (type = hdl)
http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.000051803
Language (objectPart = )
LanguageTerm (authority = ISO639-2); (type = code)
eng
Genre (authority = marcgt)
theses
Subject (ID = SBJ-1); (authority = RUETD)
Topic
Industrial and Systems Engineering
Subject (ID = SBJ-2); (authority = ETD-LCSH)
Topic
Medical care--Evaluation--Mathematical models
Subject (ID = SBJ-3); (authority = ETD-LCSH)
Topic
Medical care--Quality control--Mathematical models
Subject (ID = SBJ-4); (authority = ETD-LCSH)
Topic
Performance standards
Abstract
Although both public and private healthcare expenditures have been very high in the US when compared to other wealthy and industrialized nations; the quality and reach of services provided have constantly been in dispute. For that reason, improving the efficiency of healthcare services has emerged to be an important goal. However, the unpredictable and complex nature of the healthcare environments makes this goal difficult to achieve. Recently industrial engineering methods started being applied to improve hospital efficiencies. In addition, the utilization of technological advancements such as RFID based real time location systems (RTLS) in the healthcare sector provides an additional opportunity to apply industrial engineering methods to healthcare.
In this thesis, a data transformation and analysis framework is developed to be employed as part of a RTLS schema in a hospital unit. This framework consists of a software agent that is capable of monitoring, analyzing and predicting the performance of a process from RTLS data. The software agent performs its task by means of several statistical methods customized for specific purposes. It can identify steady state behavior, changes in the mean and transient states such as learning curves. Its main purpose is to detect the effects of modifications on the system and forecast the future performance level. A simulation model is built to produce tracking data of entities in a hypothetical hospital unit to be fed into the software agent via a database structure. This completes the framework and enables the testing of the developed agent using realistic data.
RTLSs typically suffer from accuracy issues which result in imperfect tracking data. This makes performance monitoring very infeasible or even impossible. To overcome this issue, a data cleaning algorithm is developed which can be fully integrated with the developed performance agent. The algorithm utilizes a Bayesian approach in a sliding window analysis. Testing of the data cleaning algorithm is performed for various scenarios.
PhysicalDescription
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electronic resource
Extent
xi, 184 p. : ill.
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Note (type = degree)
M.S.
Note (type = bibliography)
Includes bibliographical references (p. 60-61)
Note (type = statement of responsibility)
by Cenk Demir
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Demir
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Cenk
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1984-
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author
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Cenk Demir
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Boucher
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Thomas
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chair
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Advisory Committee
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Thomas O. Boucher
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Elsayed
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Advisory Committee
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Elsayed A. Elsayed
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Luxhoj
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James
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Advisory Committee
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James T. Luxhoj
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NamePart
Rutgers University
Role
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degree grantor
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Graduate School - New Brunswick
Role
RoleTerm (authority = RULIB); (type = )
school
OriginInfo
DateCreated (point = ); (qualifier = exact)
2009
DateOther (qualifier = exact); (type = degree)
2009-10
Place
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xx
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Title
Rutgers University Electronic Theses and Dissertations
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ETD
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Title
Graduate School - New Brunswick Electronic Theses and Dissertations
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rucore19991600001
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NjNbRU
Identifier (type = doi)
doi:10.7282/T3DF6RD2
Genre (authority = ExL-Esploro)
ETD graduate
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Rights

RightsDeclaration (AUTHORITY = GS); (ID = rulibRdec0006)
The author owns the copyright to this work
Copyright
Status
Copyright protected
Notice
Note
Availability
Status
Open
Reason
Permission or license
Note
RightsHolder (ID = PRH-1); (type = personal)
Name
FamilyName
Demir
GivenName
Cenk
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Copyright holder
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DateTime
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Name
Cenk Demir
Affiliation
Rutgers University. Graduate School - New Brunswick
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License
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Author Agreement License
Detail
I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
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Technical

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