Evaluating Suitability of SNOMED CT in Structured Searches for COVID-19 Studies.
Stud Health Technol Inform
; 281: 88-92, 2021 May 27.
Article
in English
| MEDLINE | ID: covidwho-1247789
ABSTRACT
Studies investigating the suitability of SNOMED CT in COVID-19 datasets are still scarce. The purpose of this study was to evaluate the suitability of SNOMED CT for structured searches of COVID-19 studies, using the German Corona Consensus Dataset (GECCO) as example. Suitability of the international standard SNOMED CT was measured with the scoring system ISO/TS 21564, and intercoder reliability of two independent mapping specialists was evaluated. The resulting analysis showed that the majority of data items had either a complete or partial equivalent in SNOMED CT (complete equivalent 141 items; partial equivalent 63 items; no equivalent 1 item). Intercoder reliability was moderate, possibly due to non-establishment of mapping rules and high percentage (74%) of different but similar concepts among the 86 non-equal chosen concepts. The study shows that SNOMED CT can be utilized for COVID-19 cohort browsing. However, further studies investigating mapping rules and further international terminologies are necessary.
Keywords
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Systematized Nomenclature of Medicine
/
COVID-19
Type of study:
Cohort study
/
Experimental Studies
/
Observational study
/
Prognostic study
Limits:
Humans
Language:
English
Journal:
Stud Health Technol Inform
Journal subject:
Medical Informatics
/
Health Services Research
Year:
2021
Document Type:
Article
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