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Prevalence and evaluation of potential abbreviations in intensive care documentation

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TitleInfo
Title
Prevalence and evaluation of potential abbreviations in intensive care documentation
Name (type = personal)
NamePart (type = family)
Brundage
NamePart (type = given)
David M.
NamePart (type = date)
1988-
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David M. Brundage
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RoleTerm (authority = RULIB)
author
Name (type = personal)
NamePart (type = family)
Srinivasan
NamePart (type = given)
Shankar
DisplayForm
Shankar Srinivasan
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
chair
Name (type = corporate)
NamePart
Rutgers University
Role
RoleTerm (authority = RULIB)
degree grantor
Name (type = corporate)
NamePart
School of Health Professions
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RoleTerm (authority = RULIB)
school
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Text
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theses
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2020
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2020-01
Language
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English
Abstract (type = abstract)
Introduction: Abbreviations are often used in clinical documentation to reduce time spent documenting in electronic health records and to save space during documentation. Abbreviations represent a specific challenge in healthcare as they can often contain multiple means. This ambiguous use of abbreviations is a patient safety issue for clinicians who do not properly understand the intended use of the abbreviation and presents a health literacy issue to patients as they try and understand what a provider’s note says about the care provided. Plenty of research has been done on a clinician’s ability to disambiguate abbreviations, but little work has been done to assess how clinicians are using abbreviations or creating tools to assist administrators and clinicians to explore the documentation of their providers.
Methods: A semi-supervised approach was taken to identify potential abbreviations within the MIMIC-III database. Over 400 million-word tokens were compared to a list approved abbreviation for Beth Israel Deaconess Hospital. The results of this semi-supervised identification were used to analyze the use of abbreviations and prevalence of abbreviations within the dataset.

Results: 463,175,566 raw word tokens were compared to a list of 1,742 approved abbreviations. On average, every document within MIMIC contained almost 14 abbreviation tokens, or roughly 9% of an average note is comprised of potential abbreviations. Some notes contained almost 26% of potential abbreviation tokens. The average count of potential abbreviations for a note created by an RN is 21.87, and the average count of potential abbreviations in a note created by an MD is 11.39. There is a substantial difference in the number of abbreviations used in a note by an RN and MD. MIMIC note events contain a substantial amount of abbreviations >= 5%.

Conclusion: Using the MIMIC data set we have shown that clinical abbreviations and complex clinical jargon make up a specific amount of provider documentation. 8.22% of total words within the MIMIC note events table is a term found within the Beth Israel Deaconess approved abbreviation list. We have also shown that there is the capability to replace abbreviations in medical text to provide additional context to patients.
Subject (authority = RUETD)
Topic
Biomedical Informatics
Subject (authority = local)
Topic
MIMIC
Subject (authority = LCSH)
Topic
Medical records -- Documentation -- Abbreviations
RelatedItem (type = host)
TitleInfo
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Rutgers University Electronic Theses and Dissertations
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ETD
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ETD_10417
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application/pdf
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text/xml
Extent
1 online resource (138 pages) : illustrations
Note (type = degree)
Ph.D.
Note (type = bibliography)
Includes bibliographical references
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School of Health Professions ETD Collection
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rucore10007400001
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NjNbRU
Identifier (type = doi)
doi:10.7282/t3-bmvn-yh70
Genre (authority = ExL-Esploro)
ETD doctoral
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Rights

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The author owns the copyright to this work.
RightsHolder (type = personal)
Name
FamilyName
Brundage
GivenName
David
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2019-11-15 13:10:26
AssociatedEntity
Name
David Brundage
Role
Copyright holder
Affiliation
Rutgers University. School of Health Professions
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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.
RightsEvent
Type
Embargo
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2020-01-31
DateTime (encoding = w3cdtf); (qualifier = exact); (point = end)
2021-01-30
Detail
Access to this PDF has been restricted at the author's request. It will be publicly available after January 30th, 2021.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
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Technical

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2019-11-15T20:40:54
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2019-11-15T20:40:54
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