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Understanding teamwork in trauma resuscitation through analysis of team errors

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TypeOfResource
Text
TitleInfo (ID = T-1)
Title
Understanding teamwork in trauma resuscitation through analysis of team errors
SubTitle
PartName
PartNumber
NonSort
Identifier (displayLabel = ); (invalid = )
ETD_2095
Identifier (type = hdl)
http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.000051903
Language (objectPart = )
LanguageTerm (authority = ISO639-2); (type = code)
eng
Genre (authority = marcgt)
theses
Subject (ID = SBJ-1); (authority = RUETD)
Topic
Communication, Information and Library Studies
Subject (ID = SBJ-2); (authority = ETD-LCSH)
Topic
Health care teams
Subject (ID = SBJ-3); (authority = ETD-LCSH)
Topic
Communication in medicine
Abstract
An analysis of human errors in complex work settings can lead to important insights into the workspace design. This type of analysis is particularly relevant to safety-critical, socio-technical systems that are highly dynamic, stressful and time-constrained, and where failures can result in catastrophic societal, economic or environmental consequences. Some examples of such systems include an airplane cockpit, the stock market, a hospital, and a nuclear power plant. The research described in this dissertation focuses on advanced trauma care, an additional example of a socio-technical system in which medical teams use complex work processes while treating severely injured patients early after injury. Despite advances in trauma care over the past few decades, errors are still observable, even among the most experienced teams. This dissertation focuses on teamwork errors. It identifies and analyzes why, when, and how teamwork errors occur in trauma resuscitation. The objective was to gain deep insights and knowledge of the work of trauma teams to inform the development of information technologies to support teamwork and detect and prevent errors. Through an extensive ethnographic study and a mixture of techniques including cognitive work analysis and grounded theory approach, four team error types were identified. These include: interpretation errors, caused by inefficient evidential data integration; communication errors, caused by failures to report critical patient information; management errors, caused by inefficient tracking of the progress of multi-step procedures; and, concurrency errors, caused by parallel activities over the shared resources. Findings from this study have broader applicability to other collaborative and highly dynamic work settings that are prone to human error. This work contributes to the fields of Information Science and Computer-Supported Cooperative Work by adding to the understanding of collaborative information seeking in large collocated teams; identifying the challenges and opportunities for information technology support of teamwork in time- and safety-critical settings; and, providing specific recommendations for technological support of teamwork in trauma resuscitation, a domain of great societal importance.
PhysicalDescription
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electronic resource
Extent
xv, 250 p. : ill.
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application/pdf
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Note (type = degree)
Ph.D.
Note (type = bibliography)
Includes bibliographical references (p. 187-196)
Note (type = statement of responsibility)
by Aleksandra Sarcevic
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Sarcevic
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Aleksandra
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1977-
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author
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Aleksandra Sarcevic
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Lesk
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Michael
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chair
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Advisory Committee
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Michael E. Lesk
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NamePart (type = family)
Tremaine
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Marilyn
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internal member
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Advisory Committee
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Marilyn M. Tremaine
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Robinson
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Jeffrey
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Advisory Committee
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Jeffrey D. Robinson
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NamePart (type = family)
Lim
NamePart (type = given)
James
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outside member
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Advisory Committee
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James Lim
Name (ID = NAME-1); (type = corporate)
NamePart
Rutgers University
Role
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degree grantor
Name (ID = NAME-2); (type = corporate)
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Graduate School - New Brunswick
Role
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school
OriginInfo
DateCreated (point = ); (qualifier = exact)
2009
DateOther (qualifier = exact); (type = degree)
2009-10
Place
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xx
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TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier (type = RULIB)
ETD
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TitleInfo
Title
Graduate School - New Brunswick Electronic Theses and Dissertations
Identifier (type = local)
rucore19991600001
Location
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NjNbRU
Identifier (type = doi)
doi:10.7282/T37H1JR9
Genre (authority = ExL-Esploro)
ETD doctoral
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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
Sarcevic
GivenName
Aleksandra
Role
Copyright holder
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Permission or license
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Place
DateTime
Detail
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Copyright holder
Name
Aleksandra Sarcevic
Affiliation
Rutgers University. Graduate School - New Brunswick
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License
Name
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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ETD
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application/pdf
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application/x-tar
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6236160
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