Literature DB >> 16980782

Standardized nursing language in the systematized nomenclature of medicine clinical terms: A cross-mapping validation method.

Der-Fa F Lu1, David Eichmann, Debra Konicek, Hyun Tae Park, Prangtip Ucharattana, Connie Delaney.   

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.

Mesh:

Year:  2006        PMID: 16980782     DOI: 10.1097/00024665-200609000-00011

Source DB:  PubMed          Journal:  Comput Inform Nurs        ISSN: 1538-2931            Impact factor:   1.985


  3 in total

1.  Terms used for isolation practices by nurses at an academic medical center.

Authors:  Timothy Landers; Jessica McWalters; Maryam Behta; Gina Bufe; Barbara Ross; David K Vawdrey; Elaine Larson
Journal:  J Adv Nurs       Date:  2010-08-16       Impact factor: 3.187

2.  Systemized Nomenclature of Medicine Clinical Terms for the structured expression of perioperative medication management recommendations.

Authors:  Mehrdad Rafiei; David Pieczkiewicz; Saif Khairat; Bonnie L Westra; Terrence Adam
Journal:  Am J Health Syst Pharm       Date:  2014-12-01       Impact factor: 2.637

3.  Physician nurse care: A new use of UMLS to measure professional contribution: Are we talking about the same patient a new graph matching algorithm?

Authors:  Andrew D Boyd; Karen Dunn Lopez; Camillo Lugaresi; Tamara Macieira; Vanessa Sousa; Sabita Acharya; Abhinaya Balasubramanian; Khawllah Roussi; Gail M Keenan; Yves A Lussier; Jianrong 'John' Li; Michel Burton; Barbara Di Eugenio
Journal:  Int J Med Inform       Date:  2018-02-09       Impact factor: 4.046

  3 in total

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