Aðferðafræði við vörpun hugtaka yfir í
Snomed CT
Miðvikudaginn 17. maí í Eirbergi
stofu 103 klukkan 15:30
Fyrirlesari var Der Fa Lu sérfræðingur á sviði upplýsingatækni
Þessi fyrirlestur var í boði Fókus, faghóps um upplýsingatækni í
heilbrigðisþjónustu, og þverfaglegs náms í upplýsingatækni á heilbrigðissviði
við Háskóla Íslands.
Útdráttur
Standardized Nursing Language in SNOMED CTâ: A Cross Mapping Validation Method
Many standardized
healthcare languages have been mapped to the Systematized Nomenclature of
Medicine Clinical Termsâ (SNOMED CTâ). This study
describes a methodology to detect mis-assigned concepts from these source
systems to SNOMED CTâ; presents the results applying this
methodology to a subset of concepts from two standardized nursing languages
(Nursing Interventions Classificationâ, NICâ; and Nursing Outcomes
Classificationâ, NOCâ).
The methodology is based on comparing the knowledge representations of a
set of nursing concepts between source systems (nursing languages) and SNOMED CTâ.
If any nursing concept differs in knowledge representation in the target
system compared to the source system, editorial mis-assignment of the concept
was found and recommendations were made for target system developers. In a total of 75 nursing concepts used to
test this method, 5 mis-assigned concepts (6.6%) in SNOMED CTâ were found. This
method can be used to validate other healthcare languages.
Samhöfundar
Der Fa Lu eru: David Eichmann, PhD, The University of Iowa, School
of Library Information Science; Debra Konicek, MSN RN BC, of American
Pathologists, Terminology Manager, Nursing, SNOMED CTâ; Hyun Tae Park, PhD RN, The
University of Iowa, College of Nursing; Prangtip Ucharattana, MSN RN, Mahidol
University, Faculty of Nursing, Bangkok Thailand og Connie Delaney, PhD RN
FAAN, FACMI, The University of Iowa, College of Nursing.
