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Please use this identifier to cite or link to this item: http://repository.li.mahidol.ac.th/dspace/handle/123456789/23198
Title: Standardized nursing language in the systematized nomenclature of medicine clinical terms: A cross-mapping validation method
Authors: Der Fa F Lu
David Eichmann
Debra Konicek
Hyun Tae Park
Prangtip Ucharattana
Connie Delaney
University of Iowa
College of American Pathologists
Mahidol University
Keywords: Computer Science;Health Professions;Medicine
Issue Date: 1-Sep-2006
Citation: CIN - Computers Informatics Nursing. Vol.24, No.5 (2006), 288-296
Abstract: Many standardized healthcare languages have been mapped to the Systematized Nomenclature of Medicine Clinical Terms known as SNOMED CT, which was developed by the College of American Pathologists. This study describes a methodology for detecting misassigned concepts from source systems to SNOMED CT and presents the results of applying this methodology to a subset of concepts from two standardized nursing languages, the Nursing Interventions Classification and the Nursing Outcomes Classification. The methodology is based on comparing the knowledge representations of a set of nursing concepts between source systems (nursing languages) and SNOMED CT. If any nursing concept differs in knowledge representation in the target system compared with the source system, editorial misassignment of the concept was declared and recommendations for target system developers were made. In a total of 75 nursing concepts used to test this method, five misassigned concepts(6.6%) were found in SNOMED CT. This method can be used to validate other healthcare languages. © 2006 Lippincott Williams & Wilkins, Inc.
URI: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=33748804173&origin=inward
http://repository.li.mahidol.ac.th/dspace/handle/123456789/23198
ISSN: 15382931
Appears in Collections:Scopus 2006-2010

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