About: An exploration of the properties of the CORE problem list subset and how it facilitates the implementation of SNOMED CT

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

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type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	An exploration of the properties of the CORE problem list subset and how it facilitates the implementation of SNOMED CT
Creator	Xu, Julia Fung, Kin
Source	Medline; PMC
abstract	Objective Systematized Nomenclature of Medicine Clinical Terms (SNOMED CT) is the emergent international health terminology standard for encoding clinical information in electronic health records. The CORE Problem List Subset was created to facilitate the terminology’s implementation. This study evaluates the CORE Subset’s coverage and examines its growth pattern as source datasets are being incorporated. Methods Coverage of frequently used terms and the corresponding usage of the covered terms were assessed by “leave-one-out” analysis of the eight datasets constituting the current CORE Subset. The growth pattern was studied using a retrospective experiment, growing the Subset one dataset at a time and examining the relationship between the size of the starting subset and the coverage of frequently used terms in the incoming dataset. Linear regression was used to model that relationship. Results On average, the CORE Subset covered 80.3% of the frequently used terms of the left-out dataset, and the covered terms accounted for 83.7% of term usage. There was a significant positive correlation between the CORE Subset’s size and the coverage of the frequently used terms in an incoming dataset. This implies that the CORE Subset will grow at a progressively slower pace as it gets bigger. Conclusion The CORE Problem List Subset is a useful resource for the implementation of Systematized Nomenclature of Medicine Clinical Terms in electronic health records. It offers good coverage of frequently used terms, which account for a high proportion of term usage. If future datasets are incorporated into the CORE Subset, it is likely that its size will remain small and manageable.
has issue date	2015-02-26(xsd:dateTime)
bibo:doi	10.1093/jamia/ocu022
bibo:pmid	25725003
has license	bronze-oa
sha1sum (hex)	9bef5b16827f5a3af4860ca00c907970107efe4b
schema:url	https://doi.org/10.1093/jamia/ocu022
resource representing a document's title	An exploration of the properties of the CORE problem list subset and how it facilitates the implementation of SNOMED CT
has PubMed Central identifier	PMC5566198
has PubMed identifier	25725003
schema:publication	Journal of the American Medical Informatics Association
resource representing a document's body	covid:9bef5b16827f5a3af4860ca00c907970107efe4b#body_text
is schema:about of	named entity 'CORE' named entity 'statistical analysis' named entity 'scatter plot' named entity 'ICD-9-CM' named entity 'ICD codes' named entity 'subset' named entity 'Meconium aspiration syndrome' named entity 'epidemiological data' named entity 'ICD' named entity 'SNOMED CT' named entity 'SNOMED CT' named entity 'SNOMED CT' named entity 'medical specialties' named entity 'electronic health record' named entity 'SNOMED CT' named entity 'SNOMED CT' named entity 'virus' named entity 'SNOMED CT' named entity 'brachial plexus' named entity 'ICD-9' named entity 'anastomosis' named entity 'IHTSDO' named entity 'SNOMED CT' named entity 'SNOMED CT' named entity 'SNOMED CT' named entity 'College of American Pathologists' named entity 'clinical data' named entity 'United States' named entity 'fields of medicine' named entity 'NOS' named entity 'ICD-9-CM' named entity 'United States' named entity 'SPSS' named entity 'NEC' named entity 'NOS' named entity 'renal artery' named entity 'Windows' named entity 'SNOMED CT' named entity 'intellectual property rights' named entity 'Pearson correlation coefficient' named entity 'EHRs' named entity 'SNOMED CT' named entity 'SNOMED CT' named entity 'necessarily true' named entity 'Viral pneumonia' named entity 'clinical situation' named entity 'Canada' named entity 'SNOMED CT' named entity 'College of American Pathologists' named entity 'SNOMED CT' named entity 'statistical classification' named entity 'standardization' named entity 'SNOMED CT' named entity 'ICD-10-CM' named entity 'Hypertensive disorder' named entity 'SNOMED CT' named entity 'United Kingdom' named entity 'scatter plot' named entity 'clinical findings' named entity 'preventive measures' named entity 'SNOMED CT' named entity 'correlation coefficients' named entity 'SNOMED CT' named entity 'India' named entity 'ICD-9-CM' named entity 'Australia' named entity 'hypertension' named entity 'SNOMED CT' named entity 'public health' named entity 'SNOMED CT' named entity 'IHTSDO' named entity 'Pneumonia' named entity 'ICD-9' named entity 'patient care' named entity 'linear regression' named entity 'epidemiological' named entity 'ICD-10-CM' named entity 'CORE Project' named entity 'statistical classification' named entity 'SNOMED CT'

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