Document Detail


Building an ontology for pressure ulcer risk assessment to allow data sharing and comparisons across hospitals.
MedLine Citation:
PMID:  21347005     Owner:  NLM     Status:  In-Data-Review    
Abstract/OtherAbstract:
As a way to promote consistency and completeness of pressure ulcer risk assessment, as well as to establish a framework for data and knowledge sharing in this domain, we constructed an ontology that represents how the characteristics of the high risk patients defined by the Braden scale are operationalized at two different settings. We observed great similarity between the two study hospitals. Forty scenarios that portrayed patients at each site were added to the ontology and algorithmically assessed for pressure ulcer risk using the ontology reasoner FACT++. When validated by manual assessment by the nurses from each site, high consistency in the assessed risk level was observed with the average consistency score of 0.82 (SD= 0.06) out of 1.0. The results suggest that explicitly defining the site specific methods for assessing pressure ulcer risk that comply with the standard methods defined in the Braden scale can improve assessment consistency.
Authors:
Hyeoneui Kim; Jeeyae Choi; Lelanie Secalag; Laura Dibsie; Aziz Boxwala; Lucila Ohno-Machado
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Publication Detail:
Type:  Journal Article     Date:  2010-11-13
Journal Detail:
Title:  AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium     Volume:  2010     ISSN:  1942-597X     ISO Abbreviation:  AMIA Annu Symp Proc     Publication Date:  2010  
Date Detail:
Created Date:  2011-02-24     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101209213     Medline TA:  AMIA Annu Symp Proc     Country:  United States    
Other Details:
Languages:  eng     Pagination:  382-6     Citation Subset:  IM    
Affiliation:
Division of Biomedical Informatics, University of California, San Diego, San Diego, CA;
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